In this work, the cosmos is reimagined not as a passive stage but as an active, creative holographic entity—one in which observation, information, and geometry continually shape one another. Building on Wheeler’s insight that the universe emerges through acts of participation, this framework unifies quantum measurement, holographic structure, and the deep geometry of coherence into a single generative architecture. Consciousness becomes a natural extension of this participatory logic, arising from the same recursive informational processes that sculpt spacetime itself. The result is a bold, integrative vision: a universe that thinks, evolves, and creates through the very act of being observed.
CHAPTERS
1. Abstract
2. Introduction
3. TADs-Topologically Associated Domains
4. KAM-Kolmogorov-Arnold-Moser Dynamics, GNPSCS Coherence, And The Structure Of Economic Order
5. Free Will And Moral Responsibility
6. A GNPSCS-Aligned Interpretation Of TAD Epigenomic-Nesting Depth As A Longevity Metric
7. Plain Word Explanation Of TAD Epigenomic-Nesting Depth
8. Deeper Tad Nesting → Deeper Coherence Manifold → Greater Regulatory Buffering → Longer Lifespan
9. Current Models Of Aging
10. The Genetic Code And Development Of The Individual Are Not Algorithmic
11. Hierarchical Nested Topologically Associated Domains (TADs)
12. Description Of A Coherence Basin And Phase Shift Of The GNPSCS
13. Coherence Basins, Phase-Shifts, and The Scale-Invariant Cosmos
14. Bohm de Broglie and Wheeler
15. Discussion
16. General Model Of Nested Tads
17. Summary
18. Bibliography
ABBREVIATIONS AND DEFINITIONS
· PL-the plenum, a deep implicate layer.
· PC-the Phi-Connectome resides in the implicate order and gives rise to the explicate-order GNPSCS.
· GNPSCS-Gödel Non-Turing Non-algorithmic Phase-Shift Computational System (Gödel computer). Explicate-order projection of the underlying implicate-order Phi Connectome (PC).
· PS-Phase Shift is the basic Non-Turing computational operation of the GNPSCS; at the subatomic scale it aligns with quantum-mechanics wave function collapse.
· COHERENCE BASIN- a globally self-consistent, phase-aligned state in which all interacting degrees of freedom lock into a single stable configuration, forming a unified computational entity with a saddle-shaped stability structure that permits discrete, topological phase-shift transitions between basins—figure 13.1, 2, 3.
· SIC-Scale-Invariant/Conformal—looks the same if magnify or shrink.
· MNDIBTC-Multidimensional Networked Discretized Imaginary Bloch Clock Time Crystal.
· MDHTE-Multi-Dimensional Holographic Topological Entity gives rise to the (SIC-GNPSCS-MNDIBTC).
· WILCZEK’S TIME CRYSTAL-a quantum system that repeats in physical time. The MNDIBTC is an extension of Wilczek’s concept as a multidimensional networked imaginary-time coherence manifold whose Bloch-phase structure generates the explicate world as a projected holographic Cartesian shadow and determines which coherent biological and physical forms can exist.
1. ABSTRACT
Reality at the deepest level can be understood as an undivided plenum—a dynamic, information-rich ground of being and becoming which continually enfolds into ever-deeper, ultimately indescribable layers beneath the transient appearances we call the world. This aligns with Advaita’s non-dual Brahman (the ground of all being), Taoism’s formless Tao, Zen’s suchness, Buddhism’s dependent origination, and Hermeticism’s axiom that the visible is a projection of the invisible. In this view, consciousness participates in the universe’s manifestation just as the universe gives rise to consciousness, echoing the holographic principle and the idea that physical reality is rooted in informational processes and observation itself. Time, within this framework, becomes a cognitive construction—felt yet inexplicable—while the ultimate ground remains untouched by here, there, now or then, and is accessible only as the eternal present.
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Figure 1.1- Basic structure of the proposed model-by author.
Illustrating the relationship of the implicate order (IO), holomovement (holo), explicate order (EO/reality/the eternal present), and our current Cartesian-duality continuum mathematics as a shadow of reality projected onto the wall of Plato’s cave. The plenum (PL) and phi connectome (PC) are in Bohm’s implicate order. There is a continual unfolding and enfolding, the holomovement (holo), in which the explicate order (EO) appears and returns to the implicate order (IO). The plenum (PL) contains multiple, ever-deeper levels, and the totality behind them is ultimately unknown and indescribable. It is not physical; it is ontological, a statement about the nature of being itself. The explicate order entails a fundamental Multi-Dimensional Holographic Topological Entity (MDHTE) which can be expressed as the (SIC-GNPSCS-MNDIBTC). Our current continuum, non-conscious mathematical ‘machine’ paradigm is akin to a shadow on the wall of Plato’s cave. There is no Cartesian duality-consciousness and matter are one; the system is both conscious and creative, embodying being and becoming.
2.INTRODUCTION
The world we experience is a projection of a deeper generative manifold, a Multi-Dimensional Holographic Topological Entity (MDHTE) whose coherence dynamics shape: form, consciousness, and creativity. Within this framework, coherence basins function as scale-invariant attractors/oscillators that enable structured non-algorithmic non-determinism, thereby allowing oscillator agents to reorganize generative structure rather than follow predetermined Turing-like algorithmic trajectories (unlike our current deterministic Cartesian continuum mathematics). The fundamental layer of reality is a projection of a deeper, multidimensional generative manifold. which behaves like a holographic, fractal, topological field whose internal coherence patterns give rise to everything we call form, mind, and creativity. Within it, coherence basins act as scale-invariant attractors. Because these attractors operate beyond fixed algorithmic rules, they enable non-deterministic, non-Turing-computable emergence, meaning that agents within the system can reorganize the generative field itself rather than simply follow predetermined mechanical trajectories. In this view, reality is a living, self-organizing, creative process rather than a closed, Cartesian machine. It is a stable region of order in a high-dimensional generative field. It’s dynamic, self-organizing, and non-deterministic. The Gödel Non-Turing Non-algorithmic Phase-Shift Computational System (GNPSCS) represents a system where computation is no longer bound by fixed, step-by-step algorithms. Instead, it operates through phase-shifts, self-organizing patterns, and non-Turing-computable dynamics. In other words, the system can hold together across many dimensions while still allowing creative, non-deterministic transformations. It’s stable enough to persist, but flexible enough to generate new structure—exactly what a coherence basin is meant to describe. The GNPSCS model unifies physics, metaphysics, genomics, and agency within a single generative architecture. [[7], [11]] As illustrated in figure 1.1 above, the MDHTE model includes the Scale-Invariant/Conformal (SIC) Gödel Non-Turing non-algorithmic Phase-Shift Computational System (GNPSCS) and the Multidimensional Networked Discretized Imaginary Bloch Clock Time Crystal (MNDIBTC) which project into a lower dimension as our current Cartesian continuum mathematics. This paper proposes to explain creativity, free will and moral responsibility by treating conscious observers as natural expressions of the cosmos. Following Bohm [[4]], the Multi-Dimensional Holographic Topological Entity (MDHTE) model posits that the explicate world is a projection of a deeper, implicate-order generative manifold. This framework aligns with Hawking’s concept of imaginary time, Spinoza’s monism [[1]], Leibnitz’s monism [[50]], Hermetic philosophy [[48]], Vedanta’s Brahman–Atman non-duality described in the Upanishads, and Taoist accounts of the Tao as the generative ground. [[2],[3]] Consciousness is treated as a primary aspect of reality in sharp contrast to Cartesian duality where matter and consciousness are considered separate. ‘Gödel’ in the GNPSCS aligns with Penrose’s claim that consciousness is not computable by Turing step-by-step algorithms. Moreover, the GNPSCS represents a multidimensional Nash equilibrium where every oscillator’s phase is a best-response to every other oscillator across all scales, where the equilibrium is not fixed; but, rather, can change with every phase shift. In our current Cartesian paradigm, a sub-atomic-scale phase-shift (PS) of the GNPSCS is represented as evolution and collapse of the Schrödinger wave function. The system proposed here maps onto game theory because each oscillator of the GNPSCS behaves like a player while the SIC-defined geometry ensures that these best responses converge to a fixed point that is multidimensional and scale-invariant/conformal, meaning that micro, meso, and macro-level interactions all settle into the same equilibrium structure. That is, all simultaneously adjust their phases in response to one another. This is something one-dimensional, algorithmic classical game theory cannot do without adding ad-hoc assumptions. In the one-dimensional case, an algorithmic Nash equilibrium sits on a simple saddle: one stable direction (best-response convergence) and one unstable direction (divergence under perturbation).
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Figure 2.1-after Wikipedia-modified by author
One-dimensional algorithmic Nash equilibrium on simple saddle shape
By contrast, in the SIC–GNPSCS–MNDIBTC model, that same saddle is expanded into a full multidimensional, scale-invariant fractal geometric object with several key upgrades. In 1-D, the equilibrium is a point. In GNPSCS, the equilibrium is a coherence basin: a region of the manifold, defined by SIC geometry, and invariant under scale transformations. It is the multidimensional generalization of a Nash fixed point.
A phase shift destroys the old saddle, creates new basins, and forces collapse into a new multidimensional equilibrium. The attractor property corresponds to the game-theoretic notion of a Nash equilibrium as a fixed point of mutual best responses. A SIC-GNPSCS coherence basin is like the concave region of a saddle, but with key differences: the basin-‘saddle’ is multidimensional and fractal, not a simple bowl. Rather, it is a self-generated fractal attractor shaped by SIC constraints. The oscillators of the GNPSCS don’t just fall into a pre-existing shape, but their interactions carve the basin such that GNPSCS equilibria are never static. A phase shift in the SIC-GNPSCS model means the system’s underlying coherence pattern gets rewritten. The old stability basin breaks down, new stable options appear, and the system ‘drops’ into one of them. In effect, a phase shift (PS) of the SIC-GNPSCS is the SIC-fractal counterpart of subatomic wave-function collapse in quantum mechanics.
Building on the 2024 GRIN Verlag Munich work on free will and moral responsibility [[7]], this essay argues that the SIC-GNPSCS resolves the classical determinist challenge by showing that agency emerges from structured non-determinism rather than randomness or mechanical necessity, i.e., it is a middle ground, a Multidimensional Networked Discretized Imaginary Bloch Clock Time Crystal (MNDIBTC). [[11],[32]] The SIC-GNPSCS reframes the strong anthropic principle by treating observers as natural expressions of a coherence-rich cosmos rather than improbable accidents. The result is a unified generative model of reality that integrates physics, biology, and consciousness into a single coherent architecture.
Ticks of discretized imaginary Bloch clocks (DIB) in the MNDIBTC are phase-update events of the implicate order, whose cumulative, scale-synchronized unfolding appears in the explicate domain as Bohm’s holomovement. Between SIC ticks, nothing appears in the explicate order because the system resides entirely in the implicate domain, i.e., there is ‘no-thing’ in the explicate order. For example, at the subatomic level, the apparently continuous trajectory of the path of an electron in a bubble chamber is actually a series of discrete events. The electron observed at one moment cannot be strictly identified with the same electron—if such a concept of ‘the same’ can even be said to exist—observed previously due to the probabilistic nature of quantum states and the role of measurement in defining them. The apparent continuity is an illusion analogous to the apparent continuity of cinematic motion being composed of discrete frames. Bohm’s implicate-explicate holomovement model supports this view, suggesting that our perceived universe is a projection of continual unfoldments and enfoldments from a deeper implicate reality. SEE: Figure 2.2 below.
At the sub-atomic scale the current algorithmic Cartesian continuum mathematical quantum-mechanical explanation of the system is that it is in a state of superposition, which collapses according to evolution of Schrödinger’s wave equation and is calculated by means of Hilbert’s complex (imaginary) vector space using his specific mathematical formulation.
By contrast, Nima Arkani-Hamed’s novel amplituhedron formulation [[15]] suggests that the usual Hilbert-space formulation of quantum theory is not fundamental, but rather a projection of a deeper purely geometric layer. Familiar notions such as locality, unitarity, and even spacetime itself emerge from an underlying geometry. Hilbert’s complex vector space is the explicate-order projection of a deeper manifold, the sub-atomic scale of the SIC-GNPSCS where standard Hilbert-space amplitudes are the Cartesian continuum mathematics shadow of this deeper structure. [[11]]
In the same sense that Arkani-Hamed’s amplituhedron program treats Hilbert-space quantum mechanics as a projection of a deeper geometric substrate, the GNPSCS framework treats the familiar cosmological and particle-physics landscape—the big bang singularity, dark matter, dark energy, cosmic end-states, and the standard model’s particle zoo— as projection artifacts produced by forcing a Cartesian continuum mathematics onto a system that is fundamentally discrete. These cosmological features arise not as ontological realities but as explicate-order shadows of a deeper implicate-order dynamics that becomes visible only when the continuum assumption is abandoned. Spacetime, fields, and particle species arise as shadows of a deeper implicate-order manifold where the true dynamics are geometric, scale-invariant, and not bound to the continuum assumptions that generate the anomalous artifacts/edges/borders/boundaries (the big bang, dark matter, dark energy, the end of the cosmos in fire or ice) of current physics.
Einstein’s famous remark that ‘God does not play dice’ was not a rejection of quantum mechanics, but a statement that its probabilistic formalism must be the shadow of a deeper, more intelligible layer of reality, a view echoed decades later by Feynman’s admission that the theory works flawlessly even though ‘nobody understands it.’ Bohm [[4]] took this intuition seriously by proposing the implicate order as the hidden generative substrate from which quantum formalism emerges as an explicate projection. Tim Palmer’s Invariant Set Theory [[10]] extends this lineage into modern physics by arguing that the universe evolves on a deep, fractal geometric structure whose constraints give rise to quantum behavior as a surface-level statistical appearance.
In this context, the SIC-GNPSCS framework stands as another expression of the same insight—that quantum mechanics is not the final ontology, but rather a sub-atomic shadow of a deeper coherence manifold, and that the apparent randomness, and indeterminacy of the quantum world reflect our encounter with a projection rather than the substrate itself.
John Wheeler’s [[13]] dictum, ‘the boundary of a boundary is zero’ expresses a deep topological fact: no physical process can have a one-sided, dangling edge. Every boundary must itself be the boundary of something higher-dimensional, and when you take the boundary again, it vanishes. In the SIC-GNPSCS architecture, this maps directly onto the idea that all explicate events are projections of deeper implicate coherence, and therefore no explicate phenomenon—Big Bang, dark matter, dark energy, particle species, or cosmic endpoints—can be fundamental. They are all boundaries of boundaries, artifacts of projecting a discrete-fractal, implicate manifold onto a Cartesian continuum. When the deeper SIC geometry is respected, these apparent ‘edges’ or boundaries disappear, just as Wheeler’s identity requires.
In other words, the continuum model creates false boundaries—singularities, missing mass, runaway vacuum energy, and particle multiplicities—because it incorrectly slices the implicate manifold. But in the GNPSCS model proposed in this paper, every explicate boundary is the boundary of a deeper coherence structure, meaning no singularities, no missing mass, no cosmic beginning or end, and no particle zoo. Thus, questions and theories about what came before the Big Bang, and searches for a dark matter particle are misguided. The entire anomalous structural artifacts of modern physics is what Wheeler would call a misread boundary, created by using the wrong mathematics.
Between ticks of the discretized imaginary Bloch clocks of the MNDIBTC, nothing appears in the explicate order because the system resides entirely in the implicate domain; at the sub-atomic scale this corresponds to what standard quantum mechanics describes as a superposition, a state that only becomes an explicate event upon Schrödinger evolution (collapse of the Schrödinger wave equation upon measurement/observation), computed in Hilbert’s complex (imaginary) vector space using his specific mathematical formalism.
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Figure 2.2- by author-discretized imaginary Bloch clock—think of an analogue clock where the ‘second hand’ jumps between seconds vs. moves smoothly.
Black dots indicate tick marks on a discretized imaginary Bloch clock. Each tick of the clock represents an implicate-to-explicate holomovement, a phase-shift of the GNPSCS system. Between tick marks, the system is in the implicate order, i.e., there is no-thing in the explicate order. In this sense, the world, our consciousness, is comprised of a succession of explicate-order ‘nows’ rather like separate frames of a film which has the appearance of continuity. The Gödel Non-Turing Non-Algorithmic Phase-Shift Computational System (GNPSCS-the ‘Gödel computer’) begins with a simple but far-reaching claim: the world we experience is not the fundamental structure of reality but a projection of a deeper generative manifold whose coherence dynamics shapes all explicate forms. This view aligns with the insight that the cosmos is not a machine unfolding according to fixed laws, but rather a creative coherence field of both ‘being’ and ‘becoming’ in which novelty, complexity, and consciousness are inherent and generative. In accordance with Rupert Sheldrake’s ideas [[16]], ‘laws of nature’ are more akin to habits, subject to change, where time is not the linear ‘pastàpresentàfuture’ model found in our mathematics, but rather a timeless morphic field which accounts for the apparent retrocausality of consciousness in Libet’s studies. [[17]] Sheldrake’s morphic fields bias individuals toward certain behavioral patterns. [[16]] Libet’s backward referral—where conscious awareness is experienced as occurring earlier than its measurable neural correlate—maps naturally onto Bohm’s implicate–explicate holomovement: the pre-readiness potential (RP) corresponds to implicate-order dynamics in which phase information is enfolded, while conscious intention corresponds to an explicate-order phase-shift event that retrospectively assigns temporal order. That is, the brain does not misreport time; rather, temporal order resolves only after coherence has crystallized into an explicit state, giving the appearance of retroactive timing. Libet’s data therefore reveal not a simple Cartesian concept of retrocausality, but a system where conscious events are not indexed to linear neuronal algorithmic neuron depolarization. Bohm’s holomovement provides the natural language for understanding how implicate dynamics become explicate experience. There is retrocausality only in the sense that temporal order is assigned after an implicate-to-explicate phase shift of the GNPSCS, such that the conscious event appears to precede its neural correlate even though both arise from the same underlying implicate-order coherence. This happens because linear time is a projection, and consciousness is a property of the GNPSCS manifold, not something manufactured by neurons. Therefore, temporal order is not pre-given but resolved only when implicate patterns become explicate. The result looks like retrocausality from within linear time, but it is simply a matter of the projection of an implicate order non-linear process onto a lower-dimensional Cartesian linear system. Thus, linear time is a projection, not the substrate. In the GNPSCS view: consciousness is not generated by the brain. The manifold’s computation is non-sequential, non-algorithmic, and non-temporal in the classical sense. What we call ‘time’ is the explicate-order rendering of deeper implicate-order phase dynamics. So the ‘retrocausal’ effect is a mismatch between the manifold’s coherence geometry and the brain’s linearized rendering of events. The brain is not lying; it’s just projecting a 1-D timeline from a higher-dimensional coherence process.
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Figure 2.3-by author, after Figure 19.1 of Bibliography #11 the ‘present’ is affected by and affects past and future
Illustrating Bohm’s implicate order as a hologram, where each part contains the whole. In this figure, the ‘present’ in linear explicate-order time is related to the ‘past and future’ via the ‘timeless whole’ of the implicate order. Bohm’s concept of the explicate order (EO) and implicate order (IO) order, framed within his theory of the holomovement, offers a radical reimagining of reality—one that transcends the Cartesian notion of time as a continuous linear progression from past to present to future. In his framework, the explicate order corresponds to the observable world: a realm of distinct objects, sequential time, and direct cause-and-effect relationships. It is the domain in which human perception typically operates. Our perception of space and time is not reality. It is a verisimilitude, a semblance of reality.
By contrast, the implicate order is a deeper, enfolded dimension of reality—timeless, nonlocal, and holistic—where all things are interconnected and distinctions dissolve. Each moment in the explicate order is not isolated but intimately related to the implicate order, which continually unfolds and enfolds the manifest world (holomovement). This dynamic interplay between EO and IO orders suggests that what we perceive as linear time may be a surface phenomenon emerging from a deeper, timeless, reality.
If the model proposed in this paper accurately reflects the nature of reality, it could provide a compelling framework for understanding phenomena that challenge conventional scientific paradigms, such as: retrocausal effects of consciousness as hinted at in Libet’s experiments on decision-making and neural timing: synchronicity where meaningful coincidences defy statistical randomness, extrasensory perception (ESP), psychokinesis, and other anomalous cognitive phenomena such as prophetic visions found in the works of Michel de Nostredame (1503–1566), known as Nostradamus who wrote Les Prophéties (first published 1555), a collection of 942 quatrains, Edgar Cayce (1877-1945), and many documented individual cases.
Tim Palmer’s Invariant Set Theory [[10]] provides a modern scientific parallel to these metaphysical intuitions. He proposes that the universe evolves on a discrete, fractal geometric substrate, and that the apparent continuum of physics—including quantum states, Hilbert-space amplitudes, and even classical weather dynamics—are merely projections or shadows of this underlying structure. In this respect, Palmer’s system stands alongside Bohm’s implicate order, Sheldrake’s morphic fields, and the GNPSCS framework as another expression of a reality governed not by Cartesian continuity, but rather by global coherence constraints and nonlocal geometric order. Similar philosophical and religious insights appear in Spinoza, Vedanta, Taoism, and Teilhard [[44]], namely that the explicate world is shaped by a deeper coherence, a view that is now emerging within physics itself through the mathematics of invariant sets, fractal state-space geometry, and nonlinear dynamical constraints. Tim Palmer ends his book The Primacy of Doubt [[10]] with the line: ‘...the invariant set may be thought of, metaphorically, as the mind of God, but I have my doubts.’
In this sense, GNPSCS represents a contemporary articulation of a long metaphysical lineage that includes Spinoza’s monism [[1]], Vedanta’s Brahman–Atman non-duality [[2]], Taoism’s Tao as the generative ground [[3]], and Bohm’s implicate order. [[4]] Bohm himself held that any given implicate order is always the unfolding of a still deeper implicate order, and that this nesting continues without end. Within the constraints of our current mathematical system this resembles the ‘turtles-all-the-way-down’ regress, but in the proposed GNPSCS architecture such infinite depth is not a defect but a structural feature of the coherence manifold. In this light, many metaphysical, philosophical, and religious traditions can be understood as culturally specific representations of Bohm’s deepest implicate layer—intuitive apprehensions of an ultimate, conscious generative reality. In this regard, the major Western theologies (Christianity, Islam, and Judaism) can be viewed as formalized projections of their founders’ intuitive encounters with the underlying coherence of reality.
In a symbolic sense, Christianity’s holy trinity maps onto Bohm’s model: Father—Bohm’s ultimate, unfathomable implicate order, known through epiphany, faith, and grace; Son—explicate order, visible, and; the Holy Spirit—Bohm’s holomovement, the ongoing link between the Father and the Son. Jesuit Father Teilhard de Chardin’s doctrine of the Omega Point [[44]] can be understood as a theological expression of the universe’s long-range coherence trajectory—his account of the direction in which cosmic evolution is tending. Teilhard sees the universe as moving along a directed trajectory of increasing complexity, interiority, consciousness, and unification toward a final state of maximal coherence—a point where consciousness, matter, and meaning converge. He calls that attractor ‘Omega’ the final coherence-center of the universe. In his thesis, ‘Christ’ is the personal name for that coherence-center. He is not saying Jesus of Nazareth becomes a cosmic dictator at the end of time. Rather, Teilhard writes that ‘Christ’ is the name Christianity gives to the ultimate unifying principle of the cosmos—the point toward which evolution is drawn.
Across Buddhism, Christianity, Judaism, Taoism, Vedanta, and Zen, the term ‘good’ does not primarily denote moral virtue but rather movement toward deeper coherence with the ultimate ground of reality. Each tradition names that ground differently, yet structurally they point to the same metaphysical function: a non-dual, generative substrate from which the world arises and toward which consciousness is drawn. In Kabbalah, Ein Sof is the infinite, unknowable essence of God, and the sefirot are the structured channels through which that infinite coherence becomes manifest in the finite world-analogous to Bohm’s distinction between the implicate order (Ein Sof) and the explicate order (the sefirotic unfolding). In Christianity, Teilhard’s Omega Point represents the unifying love of God drawing creation toward maximal coherence. In Vedanta, good is alignment with Brahman, the non-dual ground of being. In Buddhism, it is the dissolution of suffering through recognition of interdependent arising, which removes projection and reveals the underlying coherence of phenomena. In Taoism, good is effortless harmony with the Tao, the natural flow of reality. In Zen, good is simply clarity rather than confusion the unobstructed recognition of suchness, the true nature of each moment, revealed when conceptual confusion collapses. Koans are used to enable seeing reality directly, without distortion, to break the mind out of its habitual confusion, the collapse of conceptual thinking. Across all these traditions, good is not a moral category but a coherence category: the degree to which one’s perception, action, and being align with the deepest structure of reality.
Hawking’s [[5]] introduction of imaginary time provides a mathematical gesture toward this deeper structure. Imaginary time removes the singular boundary of the universe, revealing a domain in which temporal distinctions dissolve and the cosmos becomes smooth, continuous, and non-singular. The GNPSCS model interprets the generative manifold as non-temporal: time arises only in the explicate projection. This aligns with Vedanta’s claim that Brahman is beyond time [[2]], Taoism’s assertion that the Tao is uncreated and boundaryless [[3]], and Spinoza’s insistence that the one substance is eternal and infinite. [[1]] Within the GNPSCS manifold, consciousness is not an emergent by-product of matter but the fundamental generative reality. This view resonates with Spinoza’s parallelism [[1]] in which mind and body are two expressions of the same substance in contrast to Cartesian dualism, and with Vedanta’s identity of Atman (the innermost self) and Brahman (the sole, infinite, formless reality). [[2]] In the GNPSCS model, consciousness participates in the generative manifold by reorganizing coherence across scales. Insight, intuition, and creativity arise when the coherence basin becomes transparent to deeper generative patterns, allowing new explicate forms to emerge. This is consistent with Bohm’s view that creativity is the unfolding of implicate order into explicate form. [[4]] Penrose’s view of the brain as a quantum computer during lucid dreaming enables Gödel insights which cannot be reached by the waking brain’s algorithmic neuron-firing-based Turing computation. A lucid dream state represents a regime in which the brain’s ordinary algorithmic constraints loosen, and are no longer forced into stepwise algorithmic transitions characteristic of waking Turing-style computation. Rather, the sleeping brain operates as a multidimensional quantum computer, finding clique patterns by utilizing macroscopic microtubule quantum coherence rather than step-wise neuron-based depolarization Turing computation.
Naundorf [[11], [36]] suggests that in awake animals neuronal firing isn’t governed solely by classical threshold logic, i.e., a simple fire or no-fire (‘1’ or ‘0’) binary Turing machine, Boolean logical system; but, rather is influenced by quantum coherence within microtubules. Tubulin subunits in microtubules may act as quantum bits (qubits), undergoing Orchestrated Objective Reduction (Orch-OR), where quantum states collapse based on spacetime geometry rather than deterministic biochemical events such as neuronal depolarization. The Hameroff-Penrose Orch-OR [[34]] description supports the idea that consciousness emerges from ‘scaled up’ microtubular coherence. Nature has apparently solved the problem of quantum coherence in microtubules at body temperature via heat-induced quasicrystal formation in microtubule vicinal water. [[51]] During sleep and lucid dreaming, as sensory input and attentional networks quiet, the system shifts toward a coherence-driven mode in which phase relationships rather than discrete neuronal firings, dominate the evolution of mental content. In this state the deeper manifold can explore a broader landscape of possibilities, forming ‘cliques’ that remain implicit and unresolved while dreaming continues. In Bohm’s terms, the brain is operating in or ‘connected’ to the implicate order. Upon waking, re-engagement of sensory systems and attentional control increases coherence pressure and forces a phase-shift event—implicate to explicate holomovement transition—that selects one of these structures for explicit expression. The GNPSCS undergoes a phase shift and collapse into Turing computation. The resulting insight is not the product of linear Turing/simple neuronal ‘fire—no-fire’ computation, but the crystallization of a coherence-organized configuration that was explored during sleep within the manifold’s non-sequential phase-shift geometry. In this view, the lucid dream state is a period of expanded coherence exploration, while the waking ‘ah-ha’ moment is the explicate-order realization of a structure that had already formed within the manifold’s deeper implicate-order dynamics. A similar process can occur in a waking state when, after a long period of study, a moment of relaxation or attention to some simple activity such as getting on a bus, can trigger a moment in which the germ of an idea for the solution of a problem appears as a general image. Thereafter, producing a proof often becomes a relatively simple process. It seems the human brain can surpass the algorithmic limits of artificial intelligence, and when human creativity, free will, and moral judgment are combined with AI’s computational power, the result is a more capable and responsible union than either could achieve alone. This reality means education must train people to become modern polymaths, not encyclopedic masters of every field, but integrators who combine human creativity, free will, and moral judgment with AI’s computational power. The goal is to cultivate cross-domain fluency, coherence-building, and non-algorithmic insight, because these are the uniquely human capacities that make the human–AI partnership stronger than either alone.
3. TADs-TOPOLOGICALLY ASSOCIATED DOMAINS
Evolutionary novelty, epigenomic reorganization, and developmental plasticity cannot be captured by linear or mechanistic models as found in McBroome. [[6]] TAD boundaries shift, reorganize, and reconfigure in non -deterministic ways that align directly with the GNPSCS model. Coherence domains reorganize generating new patterns that cannot be reduced to genetic sequence alone. This constitutes a form of creative evolution that extends beyond Darwin’s algorithmic notion of ‘survival of the fittest.’ The DNA molecule is embedded in vicinal ordered water in which TAD structure is a reflection of the organism’s scale-invariant/conformal quantum coherence. [[11], [39]]
In the SIC-GNPSCS framework, the integrity of Topologically Associating Domains (TADs) [[6]] is such that each domain maintains a distinct regulatory geometry that constrains enhancer–promoter interactions. When quantum-like coherence is lost, these boundaries lose their insulating capacity, allowing regulatory elements to act across formerly segregated domains generating ectopic enhancer–gene contacts, inappropriate silencing, and the collapse of normally independent developmental programs into hybrid or unstable regulatory states. In other words, TAD formation is a quantum-coherent process, part of the quantum coherence of the entire organism. [[11], [40]] At the deepest level, the cosmos can be considered a scale-invariant/conformal (SIC) multidimensional holographic topological entity (MNHTE) which undergoes a seamless topological transformation in imaginary time. At the scale of the individual, a fertilized egg also undergoes a seamless topological transformation where, the apparent breaks and tears and cellular migrations seen in the developing embryo are artifacts of our perception of the projection/shadow of the MNHTE. Disruption of quantum coherence due to damage to DNA vicinal water, e.g., from reactive oxygen species (ROS), could enable cross-TAD leakage disrupting the precise temporal and spatial coordination required for morphogenesis, leading to mispatterned tissues, aberrant differentiation, congenital malformations, developmental defects, and childhood cancers. In adults the same quantum coherence disruption can lead to loss of boundary fidelity enabling proto-oncogenic enhancers to activate adjacent oncogenes, such that the epigenomic architecture is destabilized, resulting in uncontrolled growth, defective repair, and adult cancers. Thus, developmental defects and malignancies are not only simply the consequences of genetic mutation; but, rather, the emergent outcomes of a deeper geometric failure in the coherence structure (loss of quantum coherence) that normally maintains TAD insulation and constrains the regulatory landscape. Thus, both developmental anomalies and cancers emerge not only from genetic lesions/mutations, but from a deeper geometric failure in quantum coherence that normally maintains TAD insulation, loop-extrusion dynamics, and the higher-order regulatory architecture of the genome.
Within the GNPSCS framework—where SIC oscillators maintain stability through φ-separated phase relationships—each TAD can be understood as a φ-partitioned coherence basin: a quantum-stable regulatory domain whose boundaries prevent destructive resonance between neighboring genomic oscillators. CTCF (CCCTC-binding factor, an essential, highly conserved 11-zinc-finger DNA-binding protein) and cohesin act as architectural boundary keepers, functioning as stop signals for loop extrusion and maintaining the φ-aligned separation that ensures enhancers interact only with their proper targets, allowing developmental programs to unfold with precision. When coherence in the manifold loosens or decays, these φ boundaries collapse: loop extrusion destabilizes, CTCF anchoring weakens, and enhancers spill across domains. The breakdown of φ-structured insulation disrupts morphogenesis in embryos and generates pathological regulatory attractors in adults, locking cells into malignant coherence basins that manifest as congenital deformities and cancers.
Illustrations are not included in the reading sample
Figure 3.1-by author-GNPSCS system; ‘*’ = SIC; φ = phi; γ* = information; * = SIC fractal dimension of tunnel. Illustrating the Scale-Invariant/Conformal, Gödel Non-Turing Non-algorithmic Phase-Shift Computational System (SIC-GNPSCS) as a Multidimensional Networked Discretised Imaginary Bloch Clock Time Crystal (MNDIBTC). The asterisk (*) in the figure represents all scales; phi (φ) = the irrational number [(1 + 5[1]/[2])/2] 1.618…, the golden ratio. Phi-separation prevents mutual resonant destruction of oscillators of the system.
4. KAM-KOLMOGOROV-ARNOLD-MOSER DYNAMICS, GNPSCS COHERENCE, AND THE STRUCTURE OF ECONOMIC ORDER
In the GNPSCS framework, stability arises when interacting oscillators maintain φ-separation—the golden-ratio spacing that prevents oscillator mutual destructive resonance. When φ-boundaries collapse, a negentropy quantum-coherent system can collapse into a simple Turing algorithmic system exhibiting entropy increase. This applies not only to biological systems but also to economic, social, and governance systems, where conscious agents behave as interacting oscillators in a high-dimensional manifold of expectations, information, and feedback, as found in Soros and Frydman. [[8],[9]] Economies, like genomes, are nonlinear systems comprised of conscious agents. In markets, these conscious agent domains manifest as expectations, beliefs, and feedback loops. Soros’s theory of reflexivity [[8]] emphasizes that market participants do not merely observe economic conditions—they shape them. Expectations feed back into prices, which feed back into expectations, creating self-reinforcing loops. Markets exhibit quasi-periodic, KAM-like stability: prices fluctuate, but within bounds that preserve the system’s structure. When coherence breaks down—when expectations become too tightly coupled or too synchronized—the φ-separation between belief domains collapses, and markets can ‘fall’ into bubbles, crashes, or runaway feedback cycles. At the scale of our solar system, the SIC-GNPSCS model describes the orbital relationships among planets and moons that exhibit quasiperiodic stability aligning with the Kolmogorov–Arnold–Moser (KAM) theorem where if a system normally moves in smooth, not exactly-repeating quasiperiodic cycles/motion, then small disturbances won’t destroy that pattern so long as the frequencies aren’t in simple resonance, i.e., separated by the golden ratio phi as illustrated in figure 3.1.
The KAM theorem explains why certain systems—like planets orbiting a star—can stay stable over time, even when small forces or disturbances are present. In complex situations like the non-linear three-body problem, where three objects tug on each other with gravity and things can get chaotic, KAM shows that many smooth, repeating paths still hold together. This means that even in messy, unpredictable systems, some patterns survive, helping scientists understand how long-term stability is possible. Within the PC/GNPSCS framework, planetary stability is reinterpreted as the emergent result of recursive phase-locking among oscillatory systems embedded in a fractal computational substrate, rather than as a consequence of purely gravitational mechanics. The solar system is conceptualized as a resonant lattice, where each planet functions as a node/oscillator in a multi-scale coherence network. The speculative golden ratio (phi = φ) relationships in planetary spacing support this view, aligning with known principles of oscillator separation in phase-synchronized systems, where φ-spacing minimizes destructive interference and maximizes modal resilience. The solar system behaves less like a mechanical clock and more like a harmonic instrument—its long-term stability arising from modal synchrony, fractal geometry, and coherence resilience across scales. Roman Frydman and Michael Goldberg’s Imperfect Knowledge Economics (IKE) [[9]] provides a complementary perspective. IKE rejects the idea that markets converge to a single rational equilibrium which can be calculated using standard Cartesian continuum mathematics differential equations. It argues, instead, that conscious economic agents operate with imperfect, evolving models of the world. This creates a landscape of shifting expectations rather than a single fixed equilibrium point. In GNPSCS terms, IKE describes an economy composed of multiple coherence basins, each representing a different regime of expectations and behavior. Stability arises when these basins remain φ-separated: where agents’ models differ enough to prevent synchronized errors, yet overlap enough to allow coordination. Instability arises when φ-boundaries collapse and expectations become too homogeneous, pushing the system into chaotic or pathological attractors, booms and busts.
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Figure 4.1-from Wikipedia
Illustrating a simple fixed-point equilibrium economic model. The equilibrium point is calculated using standard differential equations. It represents a simple ‘machine’ version of economics which does not capture the effect of conscious participants and the insights of Soros’ reflexivity [[8]], Frydman/Goldberg IKE [[9]], Goswami’s quantum economics [[31]], and many insights suggesting that non-linear markets and systems of governance cannot be accurately represented by standard linear mathematical models because their dynamics are shaped by feedback loops, adaptive expectations, phase-dependent behavior, and conscious participants whose actions alter the structure of the system itself.
Just as TADs maintain genomic order by φ-insulation regulatory interactions, so too do economic institutions such as central banks, regulatory frameworks, norms, and conventions act as φ-boundaries that prevent destructive resonance among expectations of interacting conscious entities. When phi boundaries weaken, markets become vulnerable to reflexive cascades: self-reinforcing cycles of belief and price that resemble the genomic collapse of TAD insulation. Bubbles and crashes, in this view, are not anomalies but the economic equivalent of malignant coherence basins—stable yet maladaptive attractors that emerge when φ-separation fails. Thus, the same geometric and dynamical principles that govern biological development and disease also shape economic order and disorder. Whether in genomes or markets, stability depends on maintaining φ-structured coherence, and instability arises when these boundaries collapse. Soros’s reflexivity describes how expectations can destabilize coherence basins; IKE explains why no single equilibrium can contain the system; and the GNPSCS model provides the deeper geometric logic that unifies these phenomena.
5. FREE WILL AND MORAL RESPONSIBILITY ‘The Primacy of Creativity’ paper on free will [[7]] argues that deterministic models undermine agency by reducing choice to the inevitable mechanistic unfolding of prior states. The cosmos is posed incorrectly as nothing more than a machine, unfolding like a deterministic Turing computer program. The GNPSCS resolves this by showing that the generative manifold is non-deterministic. In such a system, free will exists and moral responsibility follows naturally. Conscious agents are responsible because they participate in shaping outcomes.
The classical dilemma that free will must be either deterministic or random is addressed by the GNPSCS model, which posits that agency arises in the middle ground. GNPSCS reframes the strong anthropic principle. In deterministic cosmology, the fine-tuning of physical constants appears improbable, raising questions about why the universe permits conscious observers at all. The GNPSCS model offers a different view: a coherence-rich generative manifold naturally produces observers as part of its unfolding. [[11]] The anthropic puzzle dissolves: the universe is not fine-tuned for life; life is a natural expression of generative coherence. This is a universe in which responsibility is real because the underlying structure is generative rather than mechanical. [[7],[11] ] It is a universe of both being and creative becoming.
In this unified framework, the insights of Spinoza, Vedanta, Taoism, Bohm, Hawking, McBroome, and Goldberg converge. Spinoza’s one substance [[1]], Vedanta’s Brahman [[2]], Taoism’s Tao [[3]], and Bohm’s implicate order [[4]] all describe a timeless generative ground. Hawking’s imaginary time reveals its non-temporal structure. [[5]] McBroome’s genomic findings show its biological expression. [[6]] Goldberg’s 2024 GRIN Verlag paper demonstrates its implications for agency and responsibility. [[7]] GNPSCS provides the structural architecture that binds these insights into a single coherent model of a creative cosmos in which consciousness, novelty, and moral responsibility are natural, not accidental. [[7], [11]]
The SIC Gödel Non-Turing Non-Algorithmic Phase-Shift Computational System (GNPSCS) begins with a simple but far-reaching claim: our perceived explicate world is not the fundamental structure of reality; rather it is a projection of a deeper implicate-order generative manifold whose SIC-based non-linear coherence dynamics shape: form, consciousness, and creativity. [[11]] This generative manifold is not temporal, mechanical, or algorithmic. It is a coherence field in which phase relations, not physical laws, determine what becomes manifest. In this sense, the GNPSCS extends and formalizes: Bohm’s implicate order [[4]], Spinoza’s monism [[1]], and more than a two-millennium-old lineage that includes Taoism’s Tao [[3]], and Vedānta’s Brahman–Atman identity which originates in the earliest Upanishads (c. 800–500 BCE), making the Upanishads one of the oldest surviving non-dual philosophical ideas in the world. [[2]]
Contemporary physics has been increasingly converging on this generative view. Rovelli’s [[12]] relational quantum mechanics dissolves the notion of intrinsic properties, asserting that all physical states exist only through interactions—a direct analogue of GNPSCS phase-dependent explicate rendering. In Verlinde’s [[14]] interpretation, gravity emerges from the statistical behavior of microscopic information degrees of freedom, an emergent entropic phenomenon, making it a thermodynamic effect rather than a fundamental force, in a sense related to information flow, thereby aligning with the GNPSCS claim that explicate dynamics arise from deeper coherence constraints. In Goldberg’s view, gravity is posed as electromagnetic information passing through fractal tunnels. [[11]]
In Wheeler’s participatory universe observers are not passive witnesses, but active participants in bringing the world into definite form. [[13]] The GNPSCS provides the structural mechanism behind this insight. Observation is a phase-shift event—a reconfiguration of coherence geometry that forces the system into a new coherence basin. [[11]] Wheeler’s ‘it from bit’ becomes ‘it’ from a phase shift of the GNPSCS, i.e., measurement is the selection of a new generative trajectory within the manifold. [[13]] In the sub-atomic scale of the GNPSCS, a phase-shift is currently explained as collapse of Schrödinger’s wave function due to an observation/measurement, where ‘observation’ carries the implication—in accord with Wheeler’s participatory cosmos—of a conscious observer who does the measuring.
This same generative logic appears in biology. McBroome’s work on topologically associating domains (TADs) [[6]] is consistent with the idea that genomic regulation is not a deterministic script encoded in algorithmic sequence, but rather a higher-dimensional, dynamic, coherence-driven reorganization of a structure perceived as a 3-D projected shadow. TAD boundaries shift, merge, dissolve, and re-form in non-algorithmic ways.
In the GNPSCS model, the organism is understood not as a primarily biochemical machine but as a globally phase-coherent quantum system whose integrative functioning arises from a non-algorithmic, holographic substrate. This paper posits that classical biological processes, including gene regulation, metabolic pathways, and even higher-order mathematical descriptions such as McBroom’s TAD formalism, are lower-dimensional algorithmic projections of this deeper GNPSCS model.
The physical medium through which this coherence manifests is ordered vicinal water, the liquid-quasicrystalline interfacial water that surrounds macromolecules, membranes, and cytoskeletal structures. Vicinal water forms a continuous matrix that enables long-range rapid, non-local coordination across the organism. Within this ontology, disease, cancer, and developmental anomalies are reconceived as forms of decoherence, i.e., disruptions of the organism’s negentropy regime, resulting in an entropy-producing algorithmic system. [[11]] A wide range of environmental, biochemical, and physiological influences can disrupt this coherence. Reactive oxygen species (ROS) play a central role in this process, as they disrupt hydrogen-bond networks and destabilize the long-range, quasicrytalline structure of vicinal water, thereby acting as physical agents of decoherence. Nitrosative stress from nitrogen species degrade the hydrogen-bond networks that maintain the long-range order of vicinal water, thereby fragmenting coherence domains.
Electromagnetic noise from incoherent or irregular external fields introduces stochastic/random phase disturbances that interfere with long-range coupling. Mechanical disruptions—including cytoskeletal fragmentation or extracellular matrix disorganization—break the tensegrity-based continuity that maintains normal mechanotransduction and membrane potential. In this context, asbestos-induced mesothelioma may arise from disruption of bioelectric stability and cellular tensegrity caused by the rigid, non-flexible nature of asbestos fibers.
Because the cytoskeleton functions as a tensegrity structure, mechanical forces can reshape proteins, alter enzyme activity, open or close ion channels, modify receptor sensitivity, and influence entire signaling pathways. Local thermal noise arising from inflammation or mitochondrial uncoupling destabilizes coherent regions by forcing them into classical, algorithmic high-entropy states. Chaotropic toxicants—that increase entropy in aqueous systems by breaking hydrogen-bond networks, including heavy metals, solvents, and persistent environmental pollutants, directly disorder interfacial water layers and impair their capacity to sustain coherent dynamics. Disruptions of bioelectric patterning through ion channel dysfunction, membrane depolarization, or gap-junction uncoupling weaken the organism’s capacity to maintain synchronized electrical and electromagnetic fields. Mitochondrial dysfunction further contributes to decoherence by impairing redox oscillations and structured-water formation. Chronic inflammation, circadian desynchronization, microbiome dysbiosis, and developmental patterning errors all introduce additional layers of noise that degrade coherence across scales. Even genomic architectural disruptions, such as loss of CTCF or cohesin function, can be interpreted as projection-level manifestations of deeper coherence failures, preventing GNPSCS-level patterns from expressing themselves in the three-dimensional genome. These diverse influences collectively illustrate that coherence in the organism is a fragile and dynamic property, vulnerable to perturbations that operate across biochemical, biophysical, and environmental domains.
From this perspective, therapeutic intervention is not primarily a matter of correcting molecular pathways, but of restoring the organism’s coherence state by re-establishing the ordered water structures and environmental conditions that support GNPSCS-level integration. This reframes pathology as disruptions of the organism’s quantum coherence rather than a mechanistic defect, and positions ‘healing as the recovery of coherence’ rather than the manipulation of isolated biochemical components as usually conceived by our current allopathic medical system which relies primarily on pharmaceuticals, radiation, and surgery. [[11]]
Within the GNPSCS framework, the organism possesses multiple, overlapping mechanisms that act to preserve or restore quantum coherence against disruptive influences. At the molecular level, antioxidant and redox-buffering systems, including glutathione, thioredoxin, superoxide dismutase, and catalase, neutralize reactive oxygen and nitrogen species before they can destabilize the hydrogen-bond networks that support ordered vicinal water. Hydration dynamics and kosmotropic (hydrogen bond-ordering/stabilizing) ions help maintain the liquid-crystalline structure of interfacial water, counteracting the chaotropic (hydrogen bond-disordering/disrupting) effects of toxicants and metabolic by-products. The body uses several natural kosmotropic strategies to keep its internal water ordered. Magnesium and calcium stabilize hydration layers around membranes and proteins, while phosphate buffers strengthen hydrogen-bond networks. Structured polysaccharides in the extracellular matrix also promote liquid-crystalline water. Together, these kosmotropic influences help maintain the ordered water environment needed for coherent biological function.
Bioelectric patterning, sustained through ion channel regulation, membrane potentials, and gap-junction coupling, provides a stabilizing electromagnetic scaffold that synchronizes cellular and tissue-level activities. Mitochondria contribute to coherence by generating structured water layers, redox oscillations, and ultraweak photon emissions that reinforce phase alignment across scales. Mechanical tensegrity, maintained through cytoskeletal remodeling, extracellular matrix turnover, and fascial continuity, ensures that mechanical forces are distributed evenly throughout the organism, preserving the structural conditions required for coherent water ordering. Circadian rhythms act as global temporal organizers, coordinating metabolic, electrical, and mechanical oscillations into a unified phase pattern. The microbiome further supports coherence by producing metabolites that stabilize redox balance, modulate inflammation, and influence water structuring at epithelial interfaces. At the genomic level, architectural proteins such as CTCF and cohesin maintain the integrity of chromatin domains, ensuring that GNPSCS-level coherence patterns can be faithfully projected into gene-regulatory architecture. Together, these systems form a multilayered (scale-invariant/coherent) coherence-preservation network that continually repairs, stabilizes, and re-synchronizes the organism’s quantum-coherent state in the face of environmental, biochemical, and mechanical perturbations. [[52]]
If the organism is a globally quantum coherent system external stimuli may assist in re-establishing quantum coherence by entraining ordered water domains, stabilizing bioelectric patterns, and reinforcing long-range phase relationships. Coherent light, particularly in the red and near-infrared ranges, enhances the structuring of vicinal water, supports mitochondrial redox oscillations, and promotes the formation of liquid-crystalline water layers that facilitate coherent dynamics. Similarly, coherent sound (low-frequency phonons) can couple mechanically to cytoskeletal and extracellular-matrix tensegrity networks, helping to re-synchronize mechanical and electromagnetic oscillations across tissues. [[11], [41]]
The GNPSCS predicts that: biological systems reorganize coherence across scales in response to perturbations, generating novelty that cannot be reduced to linear causation. Development, evolution, and epigenomic plasticity thus become biological expressions of the same generative manifold that shapes physics and consciousness. [[11]]
Within this architecture, consciousness is modeled as a coherence basin—a multidimensional scale-invariant/conformal attractor representing a multidimensional Nash equilibrium in which oscillators across all scales stabilize into mutually consistent phases. Coherence basins are not static bowls (saddles) but fractal, self-generated attractors ‘carved’ by the oscillators themselves. A phase-shift rewrites coherence geometry, destabilizes prior basins, generates new minima, and forces SIC collapse into a new regime. This is the GNPSCS analogue of wavefunction collapse, attractor switching, and phase transition. [[11]] Creativity, insight, and intuition arise when a coherence basin becomes transparent to deeper generative structure, allowing new explicate forms to emerge. SEE: Figure 13.1, 2, 3.
This generative, non-deterministic structure has deep implications for life and intelligence. If the cosmos is a coherence-rich manifold that continually reorganizes itself through phase-shift dynamics, then life isn’t an anomaly—it’s a natural phase of generative coherence. Biological life is one expression, but not the only one. Stable patterns can form in material substrates, energetic substrates, informational substrates, or in forms we haven’t yet imagined. Intelligence and consciousness aren’t confined to human cognition; they’re scalable properties of how coherence organizes itself. The same generative principles that produced biological intelligence on Earth could produce forms far beyond ours — including forms not made of matter as we understand it, existing primarily as coherent energy. [[4], [11], [12], [13]]
In this unified framework, the insights of Rovelli, Verlinde, Wheeler, McBroome, and metaphysical traditions converge: The cosmos is inherently creative; observers participate in its unfolding; and life—material or energetic, simple or transcendent—is a natural expression of a generative manifold whose coherence dynamics shape the evolution of form, mind, and meaning. The SIC-GNPSCS provides the structural architecture that binds these insights into a single coherent model of a creative, non-deterministic universe.
6. A GNPSCS-ALIGNED INTERPRETATION OF TAD EPIGENOMIC-NESTING DEPTH AS A LONGEVITY METRIC
Within the GNPSCS framework, the degree of TAD epigenomic nesting—the hierarchical layering of chromatin domains within larger domains—can be interpreted as a structural proxy for the depth of coherence architecture available to an organism. Highly-nested TAD hierarchies imply a more elaborate system of multi-scale regulatory insulation, enabling finer temporal control, more robust error-correction, and greater resilience against decoherence-driven regulatory drift. Under this interpretation, organisms with shallow TAD hierarchies (e.g., insects) possess fewer nested coherence basins and therefore exhibit more rapid developmental cycles, shorter lifespans, and reduced capacity for long-term genomic maintenance. By contrast, organisms with deeper TAD nesting (e.g., elephants, humans, bristlecone pines, redwoods) maintain more complex, multi-layered coherence geometries that stabilize gene regulation across decades or centuries. In this view, longevity emerges, not merely from metabolic rate or body size, but from the depth and stability of the chromatin coherence manifold: deeper nesting provides more opportunities for regulatory buffering, redundancy, and phase-stabilization, reducing the probability that decoherence will propagate into pathological attractors such as cancer or age-related dysregulation. Thus, the comparative longevity of humans relative to elephants, and of long-lived plants relative to mammals, can be conceptualized as a reflection of the hierarchical depth of their TAD-based coherence architecture, with deeper nesting corresponding to a more durable generative manifold capable of sustaining biological order over extended timescales. [[24]]
7. PLAIN WORD EXPLANATION OF TAD EPIGENOMIC-NESTING DEPTH
The nesting depth of a TAD is simply how many layers of chromatin ‘rooms’ sit inside one another. Some domains lie inside larger ones, which lie inside still larger ones, forming a stack like Russian nesting dolls. The depth of any given domain is the number of layers you would pass through on your way from that domain to the outermost chromatin environment. When you look across the whole genome, the deepest such stack tells you how many layers of regulatory organization the organism has available—its maximum architectural depth.
As this depth increases, the genome gains more capacity for coherence, insulation, and error correction. Each additional layer gives the system more room to separate signals, prevent interference, and buffer noise. Deeply nested chromatin behaves like a multi-layered shock-absorber: disturbances are caught, damped, and corrected before they can spread. One can think of these properties—stability, insulation, and repair capacity—as combining into a single overall measure of how well the genome maintains internal order over time. Because deeper architectures slow the spread of errors, they maintain the organism’s quantum coherence (negentropy), and also reduce the likelihood that the system will fall into pathological runaway states such as cancer. In organisms with shallow chromatin structures, errors propagate quickly and can more easily push the system into failure modes. By contrast, in organisms with deep structures, the same disturbances dissipate before they can cascade.
Taken together, these relationships mean that lifespan tends to rise with chromatin depth. More coherence and fewer catastrophic breakdowns translate into longer biological persistence. Across species, this produces a pattern: insects with shallow nesting tend to live briefly, while elephants, whales, redwoods, and bristlecone pines—all with very deep chromatin architectures—maintain order for decades or centuries. In the language of coherence theory, longevity is simply how long an organism can sustain the depth of its internal order—its quantum coherence/negentropy—the longer the system endures.
8.DEEPER TAD NESTING → DEEPER COHERENCE MANIFOLD → GREATER REGULATORY BUFFERING → LONGER LIFESPAN.
Comparative chromatin-architecture studies increasingly reveal that species differ not only in genome size or gene count but in the hierarchical depth of their TAD nesting, and these differences align strikingly with cross-species patterns of lifespan. Mammals with exceptionally long lifespans—such as elephants, bowhead whales, bats, and humans—exhibit deeply layered, multi-scale TAD hierarchies with strong insulation, redundant boundary elements, and unusually stable compartmentalization across tissues and developmental stages. [[18]–[21],[24],[25],[27]] By contrast, short-lived species such as insects and small rodents display shallow TAD architectures, minimal nesting, and rapid chromatin-state turnover. [[22],[23]] Long-lived plants, including bristlecone pines and redwoods, likewise show highly stable heterochromatin and deeply nested chromatin domains that resist epigenetic drift over centuries. [[24],[25]] Although these findings are typically framed in terms of regulatory complexity or chromatin stability, they map cleanly onto the GNPSCS interpretation in which TAD nesting depth functions as a structural proxy for quantum coherent-manifold depth, determining the organism’s capacity for long-term regulatory buffering and resistance to decoherence-driven, entropy-increasing drift.
Under this interpretation, longevity emerges not merely from metabolic rate, body size, or ecological niche, but from the depth and stability of the chromatin coherence manifold and its relationship to maintenance of organism quantum coherence and negentropy. Species with shallow TAD hierarchies possess fewer nested coherence basins and therefore exhibit rapid development, short lifespans, and limited capacity for long-term genomic maintenance. [[22],[26]] In contrast, organisms with deeply nested TAD architectures maintain multi-layered coherence geometries that stabilize gene regulation across decades or centuries, reducing the probability that local decoherence propagates into pathological attractors such as cancer, stem-cell exhaustion or age-related dysregulation. [[18],[20],[24]] Thus, the comparative longevity of humans relative to rodents, elephants relative to smaller mammals, and long-lived plants relative to animals can be conceptualized as a reflection of the hierarchical depth of their TAD-based epigenetic coherence architecture, with deeper nesting corresponding to a more durable generative manifold capable of sustaining biological order over extended timescales. With respect to the GNPSCS model proposed, systems with greater TAD depth can maintain negentropy longer without slipping into entropy-producing Turing algorithmic computation.
Joseph Wakim’s [[27]] analysis of hierarchical biological organization provides a conceptual foundation for interpreting TAD nesting depth as a determinant of species longevity. Wakim argues that long-term biological stability depends on the presence of deep, multi-layered regulatory hierarchies that buffer noise, distribute control, and prevent local perturbations from cascading into system-level failure. This framework aligns directly with the emerging comparative-genomics evidence that species with deeply nested TAD architectures—including elephants, whales, humans, and long-lived plants—maintain more stable chromatin states, slower epigenetic drift, and greater resistance to age-related dysregulation. In contrast, species with shallow TAD hierarchies, such as insects and short-lived mammals, exhibit rapid developmental cycling, fast chromatin turnover, and limited capacity for long-term genomic maintenance. Under this integrated view, longevity reflects not merely metabolic or ecological factors but the depth of the chromatin coherence manifold, with deeper nesting providing the hierarchical buffering and redundancy necessary to sustain biological order across extended timescales.
9. CURRENT MODELS OF AGING
Current models of aging that focus on telomere shortening, end-replication limits, and chromosome-end instability, i.e., in terms of algorithmic Turing models [[37]] can be understood as a surface manifestation of a deeper architectural principle. Telomeres are typically framed as the ‘clock’ of the cell, with progressive shortening leading to senescence, genomic instability, and age-related decline. But in the GNPSCS-aligned interpretation, telomere erosion is not the primary cause of aging; it is a boundary-level expression of a more fundamental process: the gradual loss of coherence within the chromatin manifold. Telomeres sit at the outermost layer of the genome’s hierarchical organization, and their vulnerability reflects the shallowest tier of the system’s coherence architecture. As the deeper, nested TAD structures lose coherence—through accumulated noise, weakened insulation, or phase-drift—this instability propagates outward, eventually manifesting at the chromosome ends where buffering is thinnest. In this view, telomere shortening is a projection of deeper architectural decoherence, not its origin.
This reframing explains why telomere length correlates imperfectly with lifespan across species: organisms with deep TAD nesting and robust multi-layered insulation can tolerate substantial telomere erosion without catastrophic loss of regulatory integrity, while species with shallow nesting experience rapid collapse even with relatively long telomeres. Mice, for example, have extremely long telomeres yet short lifespans because their TAD architecture is shallow and offers limited multi-layered buffering; once telomeres shorten, regulatory collapse occurs quickly. Humans and elephants, by contrast, have comparatively modest telomere lengths but far deeper TAD nesting and stronger boundary insulation, allowing them to absorb substantial telomere loss without destabilizing gene regulation. Birds such as parrots and corvids (crows, ravens, magpies) show the same pattern: relatively short telomeres paired with unusually robust chromatin insulation and long lifespans. At the opposite extreme, many insects possess long telomeres but minimal hierarchical nesting, leading to rapid senescence despite ample terminal repeats. [[28]] Telomere length doesn’t predict lifespan because what really matters is the telomere-shortening rate, which in turn reflects the depth of chromatin nesting: deep architectures slow shortening, shallow ones accelerate it.
These examples show that telomere length is only a surface-level metric; the real determinant of longevity is the coherence architecture that governs how telomere erosion propagates—or fails to propagate—into regulatory failure. It also clarifies why interventions that merely extend telomeres fail to produce meaningful increases in lifespan unless they also stabilize the underlying coherence architecture. Telomeres, in this model, are the outermost coherence boundary, and their deterioration is simply the first visible sign that the deeper generative manifold is losing its ability to maintain stable quantum-coherent regulatory basins. Thus, telomere-centric theories of aging are best understood as boundary-level projections of the more fundamental principle: that longevity is determined by the depth, redundancy, and stability of the chromatin, epigenomic coherence manifold, with telomere dynamics reflecting only the most superficial layer of this hierarchical system.
Within the GNPSCS framework, what classical population genetics describes as ‘genetic drift’(random changes in gene frequencies) can be reinterpreted as the Cartesian statistical projection of deeper coherence-manifold dynamics. Genetic drift is simply what coherence fluctuations look like when projected into allele-frequency space, shallow architectures amplify genetic drift, deep architectures suppress it. In species with deep, multi-layered nesting, coherence buffering suppresses noise, stabilizes replication timing, slows telomere erosion, and dampens drift. Telomere-shortening rate and genetic drift are not independent evolutionary forces but surface-level projections of a single underlying variable—the depth of the genome’s coherence architecture.
The telomere-shortening rate may not be constant throughout an organism’s life; instead, the rate changes with developmental stage, reflecting shifts in the genome’s underlying coherence architecture. Early in life, rapid cell division and still-maturing chromatin insulation produce faster telomere erosion, while later in life, as chromatin domains stabilize and nesting deepens, shortening slows. This stage-specific pattern fits naturally with the broader model: it is not telomere length that predicts longevity, but the rate at which telomeres erode, and that rate is itself shaped by the depth and robustness of chromatin organization. In species with shallow nesting, weak insulation allows noise to propagate and telomeres to shorten quickly; in species with deep, multilayered nesting, coherence buffering slows erosion throughout life. Thus the age-dependent dynamics of telomere shortening are another surface expression of the genome’s underlying architectural depth.
In standard Darwinian theory, genetic drift is treated as random incremental noise in allele frequencies, constrained by the requirement that new forms must arise through stepwise mutational intermediates. But in a coherence-based ontology, these fluctuations are not drivers of novelty; they are the statistical residue of deeper shifts in the coherence basins that structure the organism’s generative manifold. In GNPSCS terms, ‘coherence basins’ are regions of higher internal consistency in the manifold—places where the system’s phase relationships fit together with minimal conflict. When coherence density redistributes across nested basins, the resulting phase-space transitions appear, at the level of DNA statistics, as stochastic/random drift.
Evolutionary innovation, however, occurs at the manifold level as sudden reorganizations into new coherence attractors, not as linear chains of micro-mutational steps. In this framework, the search for ‘missing links’ is misguided: the manifold does not generate new forms through incremental bridging states but through coherence-driven phase transitions that leave only a Euclidean shadow in the genome. Classical drift is simply the surface projection of these non-algorithmic, non-sequential generative dynamics when viewed through the narrow lens of allele-frequency change.
The SIC-GNPSCS-MNDIBTC framework suggests that reality unfolds through phase-shift transitions, challenging Cartesian logic and offering deeper insight into consciousness, complexity, and non-Turing computation genomics. As Penrose teaches, the existence of consciousness may elude formal proof within the confines of algorithmic Boolean logic, i.e., consciousness is not algorithmically provable. [[32]] Our current mathematical frameworks may be inadequate to fully grasp the complexities of space, time, matter, life, and consciousness. [[11]] Within this ontology, the hierarchical nesting of TADs is not merely a structural feature of chromatin but a mesoscopic projection as illustrated in Figure 9.1. Each TAD corresponds to a localized coherence basin. Organisms with shallow TAD hierarchies—such as insects—occupy regions of the manifold where SIC-phase density is low producing regulatory architectures that are fast and efficient, but short-lived, with limited buffering against decoherence.
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Figure 9.1-by author-asterisk ‘*’ = scale-invariant/conformal-(SIC)
Illustrating the entire frequency range of the phi-connectome (PC-SIC-GNPSCS). Life as we currently recognize it, occupies a frequency range as shown. In this model, (MΔM’)* represents the scale-invariant/conformal (SIC) relationship of (M,M’)*—(small molecules, macromolecules such as DNA, larger structures such as mitochondria, cells, tissues, organs, and the entire organism), and the symbol ‘Δ’ indicates vicinal water.
Vicinal water is the thin layer of ordered, quasi-crystalline interfacial water through which coherent near-infrared light and coherent phonon (sound) information propagate rapidly across the organism, enabling it to function as a quantum-coherent whole. This medium supports global coordination of biochemical, structural, and topological transformations across all scales. Our current biochemical model of life—based on chemical reactions occurring in bulk water and described by Cartesian continuum differential equations—cannot account for this global coordination or the quantum-coherent behavior of living systems. We can represent the relationship between DNA and its hydration shell as (DNA-Δ-DNA), where Δ denotes the thin layer of ordered/quasi-crystalline water that participates in the formation and regulation of topologically associating domains (TADs). When two amino acids join to form a peptide bond, water is released. As a polypeptide grows, the cumulative released water becomes the vicinal water surrounding the resulting protein. The same generative logic applies to RNA and DNA: the water released during nucleotide polymerization becomes part of the ordered vicinal water matrix enveloping RNA and DNA. This structured water is not merely a solvent but the coherence medium of the SIC-GNPSCS system. Thus, as the organism constructs its macromolecules and larger structures such as the mitochondrion, it simultaneously generates the vicinal water that enables long-range coherence, making biological order a self-producing coherence geometry. Biological construction and biological coherence are not separate processes; they are two aspects of the same generative manifold. The organism builds itself and builds the medium through which it maintains coherence. The system generates the medium that allows the system to generate itself.
The idea behind these new approaches to age-related diseases is that the epigenome acts like the cell’s operating system, and aging gradually corrupts that system so the cell stops reading its DNA instructions correctly. Over time, this loss of epigenetic organization leads cells to function poorly, repair themselves less effectively, and eventually contribute to age-related diseases. Treating the epigenome vs. the genes for age-related diseases align with this proposal. Liu [[47]] and colleagues showed that by re-introducing a small set of youthful regulatory genes, the OSK factors, they could reset the epigenetic patterns in old retinal cells without altering the underlying DNA. This reset restored youthful gene expression, improved cell function, and even reversed vision loss in aged or glaucoma-damaged eyes. Liu et al. showed (in mice) that aging isn’t just damage accumulating—it’s loss of the instructions that tell the cell how to repair damage. The work suggests that the depth of epigenetic deterioration in a cell may align closely with how far along it is in the aging process, and that restoring epigenetic integrity can push the cell back toward a younger, healthier state. DNA is the hardware; the epigenome is the software that tells the hardware what to do. In other words, it is not gene therapy, but rather epigenome therapy that seems to be the future of advanced treatments for age-related diseases. This paper posits that an even more advanced treatment for aging may involve the use of coherent electromagnetic and coherent sound to entrain and maintain an organism’s quantum coherence. [[11]]
Several leading researchers have argued that current TAD-calling methods are too limited to capture the genome’s true multiscale organization and that fundamentally new mathematical frameworks—rather than incremental algorithmic improvements—are required. Mirny, Fudenberg, Goloborodko, and Sanborn [[29]], along with Zufferey and Zhan [[38]], emphasize that existing statistical and computational approaches cannot adequately represent nested, multiresolution chromatin architecture. They call for new theoretical abstractions capable of describing hierarchical genome organization more faithfully [[37]].
The model proposed in this paper has not been considered by any of these researchers although in other fields, work on mathematical frameworks (topology, hypergraphs, renormalization, polymer topology) do produce global, clique-like, non-sequential solutions and these frameworks might describe TAD nesting better than current algorithmic models. Some of these areas and researchers are: topology (Carlsson, Ghrist, Hess); higher-order network theorists (Petri, Benson), and; complex-systems physicists (Goldenfeld, Sethna). [[39]] Werner Jaross’ hypothesis on signaling relates to the ideas posited in this paper. [[45]] Importantly, the model proposed in this paper solves an intractable pattern search (Clique) problem without searching, since the right pattern written in it spontaneously replies back to the questioner. This describes a non-Turing computational architecture where solutions to clique problems emerge via resonant pattern matching, rather than Turing algorithmic step-by-step search.
In graph theory, a clique is a set of nodes that are all connected to one another, forming a fully interconnected subgraph whose structure is defined by global mutual compatibility rather than by any step-by-step search. Because a clique exists simply by virtue of all its internal constraints being simultaneously satisfied, it represents a non-algorithmic solution: the system doesn’t ‘compute’ the answer sequentially, it is the answer once the connectivity pattern is in place. This makes cliques a natural mathematical metaphor for systems that resolve structure holistically where the solution emerges from the overall configuration rather than from a Turing-style, iterative procedure. Protein folding occurs in a short time by clique computation of the GNPSCS, rather than algorithmic step-by-step folding which could take a cosmic amount of time. [[11]]
In the GNPSCS ontology, curvature is not spatial curvature in the Einstein sense. Manifold Curvature in GNPSCS describes how strongly the manifold’s phase field shapes and stabilizes coherence. Deep TAD nesting occurs in regions of high curvature, where many nested coherence basins can form. Shallow nesting occurs in low-curvature regions. Longevity, robustness, and regulatory stability follow directly from the curvature profile of the organism’s coherence manifold. High curvature → many nested coherence basins → deep TAD hierarchies; Low curvature → few or shallow basins → shallow TAD hierarchies. McBroom’s work [[6]] is posed in Turing algorithmic form; this paper posits it is the lower-dimensional Cartesian mathematical expression of a higher dimensional quantum-coherent system.
10. THE GENETIC CODE AND DEVELOPMENT OF THE INDIVIDUAL ARE NOT ALGORITHMIC
The central paradox of biological organization is that living systems routinely solve problems that are computationally intractable for classical algorithms. Protein folding, if approached by Turing-style sequential search, would require astronomical time. In reality, chromatin architecture reorganizes rapidly and reproducibly across cells, despite the enormous combinatorial space of possible conformations. Development proceeds through abrupt, coordinated transitions that appear globally orchestrated rather than locally driven. These observations suggest that biological ‘computation’ is not reducible to local chemical interactions in bulk water described by continuum mathematics differential equations evolving in real time. Rather, it is proposed that the organism operates as a single, coherent computational object, mediated by vicinal ordered water and coherent near-infrared and coherent sound phonons, which together support a phase-locked oscillator network, the GNPSCS. Vicinal water acts as a pathway for the transmission of coherent light and coherent sound throughout the organism. That is, coherent light (laser) and coherent sound (phonons) are transmitted through a matrix of quasi-crystalline vicinal water and associated structures, a non-Turing computational system capable of selecting globally compatible configurations (‘cliques’) without stepwise search. By contrast with Turing computational systems (‘programs’) it requires no constants or data base. [[11]]
In this framework, biological computation occurs in imaginary time—a domain where clique-collapse events are instantaneous, globally constrained, entangled, and non-algorithmic, i.e. the Scale-Invariant/Conformal Gödel Non-Turing Non-Algorithmic Phase-Shift Computational System, Multidimensional Network Discretized Imaginary Bloch Clock Time Crystal (SIC-GNPSCS—MNDIBTC) model. This means that what we observe in real time—protein folding, chromatin architecture, enhancer–promoter looping, and developmental transitions—is the Cartesian projection of these imaginary-time solutions. The system solves an intractable pattern search (clique) problem without searching, since the right pattern written in it spontaneously replies back. This describes a non-Turing computational architecture where solutions to clique problems emerge via resonant pattern matching, rather than algorithmic search.
Genes are not code representable as information in a Turing-machine. If biological systems are not expressible as Turing-machine computations, then genes cannot be understood as symbolic code or algorithmic instructions. Instead, genomic elements participate in a relational, coherence-driven dynamical process that cannot be reduced to discrete, sequential information processing. In this view, the organism is not a machine executing a program but a scale-invariant, globally-coordinated system whose behavior emerges from non-algorithmic clique selection operating in imaginary time. This framework unifies molecular, cellular, and organismal phenomena under a single ontology and offers a natural explanation for the speed, robustness, and long-range, coordination which aligns with the non-locality (entanglement-like), and global quantum coherence characteristic of living systems. Embryogenesis is not a mechanical sequence of operations but a topological transformation unfolding within a higher-dimensional fractal space. Alistair Boettiger’s [[29]] high-resolution chromatin tracing provides a uniquely detailed window into genome architecture. Several of his empirical observations align naturally with the SIC-GNPSCS-MNDIBTC framework. [[11]]
11. HIERARCHICAL NESTED TOPOLOGICALLY ASSOCIATED DOMAINS (TADs)
TADs exhibit a fractal, nested structure. Larger TADs contain smaller TADs, forming a scale-invariant hierarchy. Distant genomic loci repeatedly find each other in specific developmental contexts, a kind of non-locality. In imaginary time, these loci are not distant; instead, their real-time encounters are projections of underlying nonlocal coherence. Chromatin and polypeptide folding is too fast and too reproducible to be explained by algorithmic polymer search. Rather, in the GNPSCS, folding entails finding a ‘clique’ in imaginary time which appears in its real-time projection as a sudden transition. Its real-time projection is modeled with standard Cartesian continuum differential equations, where a more-accurate mathematical model would involve a fractal, scale-invariant mathematics. It is posited, therefore, that: biological computation is fundamentally non-Turing, development is a projection of imaginary-time dynamics, and the organism is a single coherent computational object. Chromatin architecture is a geometric shadow of deeper phase-locked dynamics, and life operates through clique-selection, not algorithmic search. If valid, this model would represent a profound shift in our understanding of biological organization. The SIC-GNPSCS-MNDIBTC framework reframes biological organization by shifting the locus of computation from real-time biochemical interactions in bulk water to a deeper, imaginary-time domain in which the organism exists as a coherent, higher-dimensional computational object. This perspective provides a unified explanation for phenomena that appear paradoxical or mechanistically opaque when viewed through the lens of classical, Turing-style biology. A central implication of this framework is that development is not a sequence of mechanical events. Classical embryology describes gastrulation, neurulation, and organogenesis as involving cell migrations, invaginations, tears, and flows. Yet these descriptions rely on a Cartesian projection of processes that, in the SIC-GNPSCS-MNDIBTC view, are topological transformations occurring in imaginary time in a higher-dimensional space. The fertilized egg, embryo, fetus, child, adult, and elder are not discrete states but different real-time slices of a single higher-dimensional topological object. Apparent discontinuities—cell migrations, tissue foldings, morphogenetic tears/boundaries/borders in topological continuity—are artifacts of projecting a smooth, coherent imaginary-time transformation into three-dimensional space and linear time. This interpretation aligns with the remarkable reproducibility and global coordination of developmental transitions, which are difficult to reconcile with local, mechano-chemical models. By analogy, this is akin to the seemingly odd behavior of three-dimensional objects intersecting two-dimensional manifolds where the 3-D objects mysteriously appear, grow, and disappear as, for example, a 3-D sphere passing through a 2-D sheet, where it first appears (to a 2-D entity confined to the sheet) as a point, then a growing circle, reaching a maximum diameter at the equator of the sphere, then a shrinking circle, and finally a point as it completes its journey through the plane.
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Figure 11.1-by author
Illustrating a 3-D ball passing through a 2-D sheet. From perspective of a 2-D observer confined to the sheet, the higher-dimension ball appears, grows, reaches a maximum size, then shrinks and disappears. This paper posits that our 3-D view of embryo development in which there are tears, migrations of cells, and what seem to be non-smooth, non-topological transformations are our misperception of a higher-dimensional smooth topological transformation, a Multi-Dimensional Holographic Topological Entity (MDHTE). That is, our perceived reality is a holographic projection into a lower-dimensional space described by a non-conscious Cartesian continuum mathematical model. In physics, Maldacena’s AdS/CFT [[42]] correspondence states that a complete quantum-gravity theory in a curved spacetime (AdS) is exactly equivalent to a lower-dimensional quantum field theory defined on its boundary, i.e., that a universe with gravity can be fully encoded by a lower-dimensional universe without gravity. This duality is the modern foundation of holography: the idea that a higher-dimensional world can be fully encoded by a lower-dimensional projection. The fact that black-hole information lives on the horizon is a special case of the holographic principle, and Maldacena’s AdS/CFT (Anti-de Sitter/Conformal Field Theory correspondence often called the AdS/CFT duality) correspondence provides the first exact, mathematical realization of that principle. The idea that the information content (entropy) of a black hole is proportional to the surface area of its event horizon, not its volume, was formulated by Jacob Bekenstein as S∝A (Entropy is proportional to area) and was later confirmed and completed by Stephen Hawking as S = (kc[3]/4Gℏ)A, the Bekenstein–Hawking entropy formula. This paper posits that the holographic principle is scale-invariant/conformal, and that the MDHTE (SIC-GNPSCS-MNDIBTC) model applies to all levels, from subatomic to life to the cosmos. SEE: Figure 9.1. Information if locked inside black hole; only the surface can be seen.
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Figure 11.2 by author
Entropy level is inversely proportional to the amount of information one knows.
Illustrating the bi-directional relationship of the Bekenstein-Hawking equation to the SIC-GNPSCS model. The term {[(kc[3])/(4ℏ)]}, a constant, and (1/G) imply the equation is algorithmic. F = Gm1m2/r[2], Newton’s basic equation for force (F) relating to mass (m) and the distance between masses squared (r[2]). It is Cartesian projection. Newton made no hypothesis for how gravity is transmitted, Einstein related gravity to energy-induced curvature of spacetime. The SIC-GNPSCS model posits gravity as scale-invariant (SIC) electromagnetic information traveling through SIC fractal tunnels where the fractal dimension of the tunnel is proportional to the area or ‘volume’ (size) = 1/frequency of the oscillator of the GNPSCS. Thus, a large, low frequency, large volume, large area oscillator (black hole) has a high or large fractal dimension tunnel associated with it through which electromagnetic information travels to communicate with other oscillators. In this model, a larger oscillator communicates with a smaller oscillator via a fractal tunnel such that we can map the oscillators into Newton’s equation:
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Figure 11.3-by author; ft = fractal tunnel; fractal dimension of ft1 is >> ft2.
Illustrating the relationship of Newton’s equation for the force of gravity in SIC-GNPSCS terms.
Newton’s equation is algorithmic insofar as G is a term in F = G(m1m2/r[2]), where in the SIC-GNPSCS, ‘G’ is not necessary, since one ‘r1’ is replaced by the higher dimensional fractal tunnel ft1 and the other ‘r2’ is replaced by the lower dimensional fractal tunnel ft2. In the SIC-GNPSCS model gravity is not a force, but rather electromagnetic information. Chromatin architecture provides a particularly clear window into this deeper computational substrate. The hierarchical, nested structure of TADs, the reproducibility of long-range enhancer–promoter contacts, and the rapidity of chromatin folding all suggest that genome organization is governed by global constraints, not local search. In the SIC-GNPSCS-MNDIBTC model, these constraints arise from clique-compatibility in imaginary time: only configurations that satisfy global phase relationships among SIC oscillators are permitted. This model may explain why certain chromatin conformations are recurrent across cells and developmental stages, while others—though mechanically possible—are never observed. If certain chromatin conformations are mechanically possible yet never appear in real cells, while others recur across cell types and developmental stages, that pattern strongly hints that chromatin and polypeptide folding is governed by global, topological constraints, not by a step-by-step algorithmic search through all possible configurations. In other words, the genome may not be ‘computing’ its structure in a Turing-style sequential way; instead, it may be settling into a higher-dimensional, topologically permitted subset of all mathematically possible conformations. This would imply that chromatin architecture behaves like a system whose allowed states are defined by global compatibility conditions—much like cliques in graph theory or allowed manifolds in topology—rather than by local rules or incremental optimization. The absence of many mechanically feasible conformations suggests that the epigenome-genome occupies only those shapes that satisfy non-local, multi-scale, and possibly higher-dimensional constraints, which is exactly the kind of behavior that higher-dimensional geometric or topological models are designed to capture. The posited model also explains why chromatin folding often occurs in abrupt, discontinuous transitions. If the genome can only occupy certain conformations because of global compatibility conditions—loop topology, entanglement constraints, multi-way interactions, nuclear DNA structure—then the system’s behavior is non-local. A change in one region can instantly restrict or permit configurations far away (non-local/entangled), not through a chain of local steps, but because the entire structure must remain topologically valid. Taken together, non-local chromatin constraints, vicinal water structuring, and coherent bio-fields support the view that the organism behaves as a quantum, globally coherent system, not a purely classical, algorithmic one. This paper posits that organisms occupy a frequency range of a scale-invariant/conformal quantum-coherent cosmos, and that our mechanistic view of life and the cosmos is a holographic projection, a shadow. [[11]] SEE: Figure 1.1. The posited SIC-GNPSCS-MNDIBTC model also provides a natural explanation for the scale-invariance observed in biological systems. From protein folding to chromatin architecture to tissue morphogenesis, biological structures exhibit fractal organization and nested hierarchies. In imaginary time, these structures correspond to nested cliques within a scale-invariant computational network. Their real-time manifestations—loops, TADs, compartments, organs—are geometric shadows of this deeper hierarchy. This perspective unifies molecular, cellular, and organismal organization under a single computational ontology. Importantly, this framework yields falsifiable predictions. Quantized folding kinetics, φ-enriched TAD spacing, forbidden configurations, synchronous architectural transitions, and cross-scale isochrony (different scales share timing regularities or maintain stable ratios between their rhythms) are all measurable with emerging experimental technologies. These signatures sharply distinguish the SIC-GNPSCS-MNDIBTC model from polymer-physics and epigenetic frameworks, which predict continuous, length-dependent dynamics and lack any mechanism for global synchrony or φ-structured constraints. Because these predictions can be empirically tested, the framework is scientifically actionable rather than purely speculative.
The model can be tested in surprisingly down-to-earth ways. It says the genome doesn’t fold like a floppy rope—random, loose, uncoordinated motion—but behaves more like a synchronized system with fixed steps, golden-ratio spacing, and shared timing across scales. So researchers can simply watch DNA fold in real time using new high-speed imaging and mapping tools. If folding happens in jumps instead of smooth motion, if TAD boundaries appear at phi (φ)-related distances, if some shapes never occur, if distant regions change together at the same moment (entanglement), and if small and large structures follow the same rhythm (scale-invariant/conformal), then the model gains support. If none of these shows up, the model is wrong. Because each prediction is specific and measurable with technologies like live-cell super-resolution, single-cell Hi-C, and nanopore 3D genome mapping, the framework is testable rather than speculative. TAD boundaries occur where oscillatory modes fall into a φ-phase relationship that minimizes interference and stabilizes folding. Phi (φ) often appears in self-organizing systems avoiding resonance and destructive interference. In the posited model, TADs are oscillators of the GNPSCS.
If validated, the SIC-GNPSCS-MNDIBTC model would imply that life operates through a fundamentally different computational paradigm—one that is non-Turing, non-local, scale-invariant, and topological. Biological processes would no longer be viewed as sequences of instructions but as projections of imaginary-time GNPSCS clique computations. Development would be understood as the smooth topological evolution of a higher-dimensional object. Chromatin architecture would appear as the geometric expression of a deeper coherence. The organism itself would be recognized as a single, coherent computational whole. Biological organization cannot be adequately explained by stepwise, local, Turing-style computation. Processes such as protein folding, chromatin architecture formation, enhancer–promoter communication, and embryonic development occur with a speed, coherence, and global coordination that defy algorithmic search or mechanochemical causation. Life does not execute a program; rather, in the SIC-GNPSCS-MNDIBTC model an organism is its own program, a non-Turing, non-algorithmic system whose intrinsic phase dynamics select globally compatible configurations, or cliques, without sequential computation.
From this perspective, chromatin architecture becomes a lower-dimensional holographic projection of deeper geometric quantum coherence relationships. The proposed nested, fractal structure of TADs reflects nested cliques within the GNPSCS. Long-range genomic contacts, which appear improbable under polymer physics, arise naturally as nonlocal correlations in imaginary time. Rapid chromatin folding is not a mechanical process, but a clique-collapse/phase-shift (PS) event of the GNPSCS. It is instantaneous in imaginary time and perceived as a sudden transition in real time. Forbidden configurations, recurrent architectural motifs, and synchronous developmental transitions all follow from the same underlying principle: only those real-time structures that correspond to compatible imaginary-time cliques can become manifest. This framework also reshapes our understanding of embryogenesis. Classical embryology describes development as a sequence of events involving cell migrations, invaginations, and apparent tears. Yet these discontinuities are artifacts of projecting a higher-dimensional smooth topological transformation into three-dimensional space and linear time. In the MDHTE model, the adult, and aged organism are not separate states but different real-time slices of a single higher-dimensional topological object. Development is the unfolding of this object into our perceptual domain. What appear as cell movements or tissue foldings are the shadows of smooth, continuous topological transformations occurring in a higher dimension in imaginary time. The implications of this view are profound. Biological structure and function become expressions of a deeper computational ontology rather than the outcomes of mechanistic processes. SEE: Figure 11.1 This paper posits that the organism is not a machine executing instructions but a coherent, scale-invariant entity whose dynamics are governed by imaginary-time clique selection. This perspective unifies molecular, cellular, and organismal phenomena under a single conceptual framework and provides a natural explanation for the speed, robustness, and global coordination observed across biological systems. Biology looks different through this lens. Genes are not ‘code’ in a Turing-machine sense. Structure and function stop being the by-products of machinery and instead emerge as expressions of a deeper computational ontology.
An organism is not a device/machine executing instructions; it is a coherent, scale-invariant entity whose behavior is shaped by clique selection unfolding in imaginary time. This view collapses molecular, cellular, and organismal biology into a single framework and naturally accounts for the speed, resilience, and global coordination seen across living systems. Embryogenesis is not mechanics. It is a topological transformation in a higher-dimensional fractal space. The MDHTE-SIC-GNPSCS-MNDIBTC model spans all scales from Planck-level oscillators to cosmic eons, while life and consciousness—as we recognize and experience them—manifest within a specific frequency band of the phi connectome (PC), illustrated in figure 9.1. The Orch-OR theory of Penrose and Hammeroff [[34]] posits consciousness as a fundamental substrate of the cosmos itself—embedded in spacetime and intrinsic to all physical systems. With the optimum packing fraction one has a ‘sweet spot’, illustrated in figure 11.2, bounded on one side by maximum entropy (TDE) where the optimum packing fraction produces a non-Turing-computable sweet spot, the MNDIBTC. This sweet spot lies between random thermodynamic equilibrium and step-wise Turing computation. Random thermodynamic equilibrium in our standard mathematical paradigm leads to the use of statistics, where, for example, in trials of new medications one finds ‘correlations’ rather than actual cause-effect pairings. In the SIC-GNPSCS-MNDIBTC model presented here, there is a third reality, the sweet spot MNDIBTC where ‘clique’ answers are found non-algorithmically.
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Figure 11.4-by author
Penrose [[32]] argues that reality contains a third mode of behavior (‘sweet spot’ shown in figure) that sits between blind randomness (TDE) and rigid algorithmic computation. Randomness is structureless and undirected; algorithms are rule-bound and mechanical. However, human mathematical insight, physical state-reduction in quantum systems, and certain forms of understanding seem to be lawful without being computable, guided yet not derivable from any step-by-step procedure. Penrose proposed that this ‘third realm’ is neither algorithmic nor random; rather, it is rooted in deep physics and is able to produce coherent, meaningful outcomes no Turing machine could generate. In his view, this realm is where genuine understanding, creativity, and non-computable physical law reside, forming a domain distinct from both chance and classical computation. In the model presented in this paper, the Multi-Dimensional Holographic Topological Entity (MDHTE) is fundamental and gives rise to the MNDIBTC ‘sweet spot’.
Hameroff and Naundorf [[34], [36]] suggest that neuronal firing is not governed solely by classical threshold logic, i.e., a simple fire or no-fire (‘1’ or ‘0’) binary Turing machine Boolean logical system; but, rather, is influenced by quantum coherence within microtubules and consciousness, a process embedded in the integration phase of neural computation. Tubulin subunits in microtubules may act as quantum bits (qubits), undergoing Orchestrated Objective Reduction (Orch-OR), where quantum states collapse based on spacetime geometry rather than deterministic biochemical cues. SEE: bibliography [33] for a discussion of heat-induced quantum coherence in microtubules via heat-induced quasicrystal formation in vicinal water. In the GNPSCS model, quantum modulation could serve as a fine-tuned coherence gate, where SIC PC resonance layers do not modulate neuronal output solely by binary on/off switching. The Hameroff-Penrose Orch-OR [[34]] description supports the idea that consciousness emerges from ‘scaled up’ microtubular coherence. Sharon Glotzer’s model [[30]] on packing fraction and entropic bonding sits almost perfectly in that Penrose-style ‘third region.’ In her entropic bonding framework, purely hard particles—no energetic attractions at all—self-assemble into highly ordered, often crystal or quasicrystal structures purely by maximizing entropy and optimizing packing (minimizing overlap) in configuration space. The ‘bonds’ are emergent, statistical, and geometry-driven: not random (because packing fraction, shape, and symmetry sharply constrain what structures appear) yet not algorithmic in the Cartesian sense (one doesn’t step through a simple rule set to get the final structure; it arises as a thermodynamic fixed point of many-body constraints). That lands her systems squarely in an MNDIBTC-type Penrose region: order emerging from entropic, high-dimensional constraints, where structure is lawful but not reducible to a simple causal or computational recipe, and where the ‘computation’ is, effectively, the system finding a non-trivial fixed point in a multidimensional space of packings. Glotzer’s computational models [[30]] and Goldberg’s vicinal-water/microtubule framework [[33]] align in a compact way: both describe systems that generate order, not through explicit rules or randomness but through global constraints that drive them toward self-consistent fixed points. In her work, particle shape and packing fraction create ‘entropic bonding’ that yields crystals and quasicrystals without any algorithmic instructions or ‘inter-molecular’ forces. In [[33]], heat-driven quasicrystal formation in vicinal water results in quantum coherence in microtubules. Both [[30],[33]] frameworks operate in the same non-algorithmic, non-random regime matching the Penrose-style third region of physics, cognition, and biological organization. Bohm’s view [[4]] fits naturally with this idea: he argues that consciousness arises from a deeper, implicate order that is neither random nor algorithmic but a coherent, non-computable mode of organization underlying both mind and matter. Penrose’s ‘third region’ points to the same kind of structured, lawful but non-Turing domain, where insight and understanding emerge from global, non-local constraints rather than stepwise computation or statistical noise. When you place these together, consciousness becomes an expression of this intermediate realm—ordered enough to carry meaning, yet not reducible to mechanical rules—much like the non-algorithmic fixed-point dynamics seen in emergent physical systems such as entropic self-assembly or other constraint-driven phenomena.
In medicine, psychology, epidemiology, and most biological sciences, we’re often trapped between statistics that reveal correlations and mechanistic theories that are too incomplete to give strict causal proof. The result is a kind of epistemic limbo: we can see patterns, but we can’t reduce them to clean, Cartesian, algorithmic cause-and-effect. Biological systems are too nonlinear, too context-dependent, too full of feedback loops and hidden variables for classical ‘A causes B’ reasoning to survive intact. Yet they’re also not random —the correlations are real, structured, and often reproducible. So these fields end up operating in a middle zone: lawful but not fully mechanistic, patterned but not strictly causal, predictive but not deductively provable. It’s exactly the kind of ‘third realm’ Penrose pointed to—a domain where understanding and consciousness come from structured, non-algorithmic regularities rather than pure chance or rigid computation.
This paper posits that the Cosmos is a creative, conscious, multi-dimensional holographic topological entity whose scale-invariant/conformal smooth topological transformations are misperceived in lower-dimensional ‘holographic’ projections as our current cosmos is currently described by our Cartesian continuum mathematics, namely that matter and consciousness are different, the latter derivable from the former, and the cosmos has edges: a big bang beginning, an end in fire or ice, and; dark matter, and dark energy. SEE: Figure 1.1, and bibliography [11] for a more complete discussion of the ‘appearance’ of edges in the Cartesian continuum holographic representation of the SIC-GNPSCS. In the multi-dimensional holographic model proposed in this paper, the development of what we perceive as consciousness, life, the individual, evolution, species, groups, governments, and economics are all non-topological projections onto a lower dimension. In short, the cosmos is not a machine. Rather, everything we perceive is a projection of an eternal conscious, creative, entity. We have free will, and moral responsibility [[7]] and in Sheldrake’s formulation [[16]] are affected by and affect changeable morphic fields and the nature of reality, so that reality is moldeled by our ongoing combined free-will decisions. Soros’s reflexivity [[8]], Frydman’s Imperfect Knowledge Economics (IKE) [[9]], and Goswami’s quantum-inspired economics [[31]] all point toward the same structural system proposed in this paper: real-world systems; markets, governance, politics, and human decision-making operate in a domain that is neither random nor algorithmic. Soros argues that market participants’ beliefs feed back into the system they are trying to understand, creating self-referential non-linear dynamics that cannot be captured by mechanical models or pure statistics—again, that middle ‘sweet spot’ non-computable zone. Frydman shows that economic agents never possess complete rules or stable expectations, so their behavior unfolds in an open, non-computable space rather than a closed algorithmic one. Goswami adds a quantum-like layer in which meaning, interpretation, and consciousness shape economic outcomes in ways that are lawful but not reducible to deterministic equations. All three frameworks describe systems that evolve through reflexive, emergent, constraint-driven patterns—exactly the kind of structured, non-algorithmic order that aligns with the Penrose third region.
12. DESCRIPTION OF A COHERENCE BASIN AND PHASE SHIFT OF THE GNPSCS
A coherence basin is a globally (SIC) self-consistent region of state-space where, at the frequency range of life, all interacting degrees of freedom—chromatin conformations, oscillatory modes, vicinal water structuring layers, electromagnetic and phononic fields—lock into a shared, phase-aligned configuration. SEE: Figure 13.1, 2, 3. Within such a basin, the organism behaves as a single coherent computational entity: perturbations along stable directions decay back into the coherent manifold, while perturbations along unstable directions push the system toward a different coherent state. This mixed-stability structure makes a coherence basin mathematically equivalent to a multidimensional Nash equilibrium with a saddle geometry. Each component’s ‘best response’ is the configuration that maintains global coherence, and the equilibrium is stable only within the subspace defined by those compatibility constraints. Orthogonal directions are unstable, forming the ridges that separate basins and generating the system’s characteristic discrete transitions (‘jumps’), forbidden intermediate states, and quantized architectural changes. A phase-shift (PS) of the GNPSCS is the abrupt transition from one coherence basin to another. It occurs when a perturbation pushes the system along an unstable direction of the saddle equilibrium, causing the entire configuration to reorganize into a new globally coherent state. Unlike gradual relaxation or continuous deformation, a phase-shift is a topological jump: the system cannot pass through intermediate configurations because they violate global compatibility constraints. Instead, it jumps into a new coherence basin where a different set of oscillatory phases, geometric relations, and constraint satisfactions become simultaneously valid. In the SIC-GNPSCS framework, these phase-shifts are the fundamental operations of non-Turing computation—the organism ‘computes’ by selecting among discrete, globally consistent topological phases rather than executing stepwise instructions. Biological dynamics, development, and architecture emerge from the sequence of coherence basins the system occupies and the phase-shifts that connect them, making life a Gödel-type, topological, phase-structured computational process. A coherence basin is not tied to any particular physical scale; it is scale-invariant/conformal (SIC). Its defining feature—global constraint satisfaction—applies identically whether the system is a chromatin loop, a whole cell, a tissue, an organism, or a galaxy-scale structure. This makes the GNPSCS architecture scale-invariant: the same mathematical object (a saddle-shaped coherence equilibrium) governs dynamics at every level. The constraints that define a basin transform smoothly under rescaling, so the system’s governing equations are conformal—they preserve angles, phase relations, and topological structure even as absolute size changes. A chromatin domain, neural ensemble, and spiral galaxy all exhibit the same pattern: a stable manifold of coherent modes and an unstable manifold that enables discrete phase-shifts. The geometry is preserved; only the units change. This is why the SIC-GNPSCS framework naturally extends from molecular biology to cosmology without modification: the universe itself is a hierarchy of coherence basins nested across scales. In this view, the cosmos is a scale-recursive coherence system. Galaxies, clusters, and filaments occupy coherence basins defined by gravitational, electromagnetic, and topological constraints, just as cells occupy basins defined by biochemical and biophysical ones. Phase-shifts at cosmic scales—galaxy formation, star ignition, black hole transitions—are the large-scale analogs of developmental or metabolic phase-shifts in living systems. Both are abrupt reorganizations of global coherence, triggered when the system crosses an unstable direction of its saddle equilibrium. The same mathematics describes them because the universe is conformally structured: its dynamics depend on relationships, not absolute magnitudes. Thus, the GNPSCS framework does not merely model biological computation; it models the computational architecture of the cosmos itself, a nested hierarchy of coherence basins connected by SIC quantized phase-shifts, all governed by the same topological, non-Turing, Gödel-type principles. Lori Gardi’s work with the Mandelbrot set relates to these ideas. [[43]] Also see extended discussion of Gardi’s work. [[11]]
13. COHERENCE BASINS, PHASE-SHIFTS, AND THE SCALE-INVARIANT COSMOS
In the SIC-GNPSCS framework, a coherence basin is a globally self-consistent region of state-space in which all interacting degrees of freedom—chromatin conformations, metabolic oscillators, structured water layers, coherent electromagnetic (coherent near-infrared) and coherent sound (phononic fields)—lock into a shared, phase-aligned configuration. Within such a basin, the system behaves as a single coherent computational entity. The basin’s internal geometry is that of a multidimensional Nash equilibrium with saddle-shaped stability: perturbations along the stable manifold decay back into coherence, while perturbations along the unstable manifold push the system toward a different coherent state. This mixed-stability structure explains why biological systems exhibit both robustness and sudden reorganization. The equilibrium is stable only within the subspace defined by global compatibility constraints; orthogonal directions are unstable, forming the ridges that separate basins enforcing the non-existence of forbidden intermediate states. A phase-shift of the SIC-GNPSCS is an abrupt transition from one coherence basin to another. It occurs when a perturbation drives the system along an unstable direction of the saddle equilibrium, forcing a discontinuous reorganization of the entire configuration. A phase-shift (clique formation) is not a gradual relaxation or a continuous deformation; it is a topological jump between distinct globally coherent states. Because intermediate configurations violate the system’s global constraints, they cannot be traversed smoothly. Instead, the system ‘snaps’ into a new basin where a different set of oscillatory phases, geometric relations, and constraint satisfactions become simultaneously valid. In this sense, phase-shifts are the fundamental operations of non-Turing computation: the system computes by selecting among discrete, globally consistent topological phases rather than executing stepwise instructions. Development, differentiation, memory formation, and metabolic reorganization all emerge as sequences of coherence basins connected by quantized phase-shifts. Crucially, this architecture is scale-invariant and conformal (SIC). The defining features of a coherence basin—global constraint satisfaction, phase alignment, saddle-geometry stability—apply identically at every physical scale. A chromatin loop, a cell, a tissue, an organism, a planetary system, and a galaxy all exhibit the same structural logic: a stable manifold of coherent modes and an unstable manifold that enables discrete transitions. The governing constraints transform smoothly under rescaling, preserving angles, phase relations, and topological structure even as absolute size changes. This conformal symmetry allows the SIC-GNPSCS framework to extend seamlessly from molecular biology to cosmology. The universe itself can be understood as a hierarchy of coherence basins nested across scales, with galaxies, clusters, and filaments occupying equilibria defined by gravitational, electromagnetic, and topological constraints. Cosmic events—galaxy formation, star ignition, black hole transitions—are large-scale analogs of biological phase-shifts: abrupt reorganizations of global coherence triggered when the system crosses an unstable direction of its saddle equilibrium. In this unified view, life and cosmos share the same computational architecture. Both are expressions of a scale-recursive coherence system governed by topological constraints, non-local consistency conditions, and quantized phase-shift transitions. The GNPSCS framework thus provides not only a model of biological computation but a general description of how complex structure emerges, stabilizes, and transforms throughout the universe.
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Figure 13.1 from Wikipedia modified by author
Illustrating a scale-invariant/conformal coherence basin showing two saddle shapes of a multitude of saddles, with a stable and an unstable position for the black ball. With a phase shift (PS) of the GNPSCS all stable balls undergo a jump into another stable point on another saddle. When all balls are in a stable position on all saddles, the system is said to be in equilibrium. In the figure, the stable ball in ‘jumps’ to a stable position with a phase shift.
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Figure 13.2 by author
3-D egg crate, related to Sheldrake [[16]] annealed pathways (morphic fields-habits)
Illustrating a scale-invariant/conformal coherence basin showing two saddle shapes (s1and s2) of a multitude of saddles, with a stable and an unstable position for the black ball. Pathways go from smaller to larger oscillators. With a phase shift (PS) of the GNPSCS all stable balls undergo a jump into another stable point on another saddle. When all balls are in a stable position on all saddles, the system is said to be in equilibrium. In the figure, the stable ball in coherence basin s1 ‘jumps’ to a stable position in coherence basin s2 with a phase shift, where the coherence basins represent pathways in the phi connectome (PC). If certain phase-shifts are repeated they result in annealed pathways, of the PC, i.e. Sheldrake’s laws as habits and morphic fields.
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Figure 13.3 -by author, coherence basin and phase-shift of the GNPSCS
Illustrating a simple one-dimensional rendition of saddle figure above showing relationship of SIC phase shift of the GNPSCS to pathways in the Phi Connectome. 2-D section through egg crate figure just above showing relationship of phase shift to pathways in the PC. If certain phase-shifts are repeated they result in annealed pathways, of the Phi Connectome, i.e. Sheldrake’s laws as habits and morphic fields. [[16]] Illustrating two states, a. and b., of the phi connectome (PC) in superposition in the implicate order until there is a phase-shift of GNPSCS which is interpreted as collapse of the wave function wherein path b. becomes manifest in the explicate order. Flow runs from smaller (higher frequency oscillators) to larger (lower frequency oscillators) of the PC.
In GNPSCS terms, TAD depth is literally the depth of the organism’s coherence manifold. The deeper the manifold, the more stable the organism’s generative order and the longer it can persist before decoherence overwhelms it. Longevity is just the macroscopic reflection of coherence-manifold depth. The model says that the deeper an organism’s nested TAD architecture, the more coherence, insulation, and error-correction it can sustain which exponentially suppresses decoherence, reduces pathological attractors, and ultimately produces longer lifespan. Each extra layer of depth dramatically slows the spread of errors. Mistakes happen in every organism, but deep chromatin structures act like shock absorbers. Each additional layer makes it exponentially harder for errors to ripple outward. We have: Nesting depth of a TAD; genome-wide nesting depth (‘The deepest nesting anywhere in the genome.’). If you look across the whole genome, the deepest stack of nested DNA domains tells you how many layers of regulatory organization the organism has at its disposal; Coherence capacity, insulation, error-correction—‘more depth à more stability, more insulation, better error control.’ The more layers the genome has, the better it can keep signals organized, prevent interference, and correct mistakes before they spread. Depth gives the genome more ‘regulatory breathing room.’
One can combine stability, insulation, and error-correction into one overall measure of how well the genome keeps itself organized over time (Coherence architecture index): a single score that summarizes how well the genome maintains order. Effective decoherence rate: Each extra layer of depth dramatically slows the spread of errors. Probability of pathological attractors => ‘Faster error spread à higher risk; slower spread à lower risk.’ When errors spread easily, systems can fall into runaway failure modes like cancer or age-related breakdown. Deep chromatin structures reduce this risk by slowing error propagation. Longevity is a function of depth, i.e., more coherence and fewer runaway failures à longer life. An organism lives longer when its genome stays well-organized and avoids catastrophic breakdowns. Both of these improve as the chromatin architecture becomes deeper and more layered. More depth always pushes lifespan upward. Across species, deeper chromatin organization consistently supports longer life, from insects with shallow structures to elephants and redwoods with very deep ones. SIC-GNPSCS coherence-manifold statement: Longevity is a direct reflection of coherence-manifold depth. In coherence-theory terms, lifespan is simply how long an organism can maintain the depth of its internal order. The deeper the coherence manifold, the longer the system persists.
14.BOHM de BROGLIE AND WHEELER
The idea that our familiar physical theories represent projections of a deeper order has long hovered at the edges of physics. De Broglie’s insight that every particle has an associated wavelength already hints that matter is not fundamentally particulate but oscillatory. Microscopic particles, with their large wavelengths, behave as extended wave patterns capable of tunneling and interference, while macroscopic objects, with their vanishingly small wavelengths, appear rigid and localized. This difference is not merely quantitative but reflects a deeper distinction in how different systems participate in the underlying fabric of reality. The wavefunction’s spread is a sign that the particle is not confined to a single location in any fundamental sense; instead, it is an expression of a broader, more holistic pattern.
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Figure 14.1-by author
Illustrating de Broglie’s principle: microscopic particles have a large frequency (small black circle inside large white circle, and macroscopic particles have a small frequency (large black circle almost ‘fills’ white circle.
Bohm’s implicate and explicate orders offer a conceptual framework for understanding this deeper pattern. In the implicate order, particles and waves are not separate entities but enfolded aspects of a single underlying process. The explicate world, with its localized objects and definite events, arises through the holomovement, the continual unfolding of implicate structures into manifest form. In this view, a particle does not exist as a sharply defined object until the unfolding process selects that aspect of the deeper pattern. Tunneling, entanglement, and wave–particle duality become natural consequences of how implicate structures unfold into explicate appearances. The question of whether something exists when we are not looking becomes less paradoxical: it exists in the implicate order as an enfolded pattern, but its explicate form depends on the unfolding process, which includes observation and interaction. [[4],[13]]
Wheeler’s participatory universe adds an informational dimension to this picture. [[13]] His idea that physical reality arises from acts of observation, ‘it from bit’, suggests that definite physical facts emerge only when a choice is made among possible outcomes. This is not creation by consciousness; but, rather the crystallization of one explicate manifestation from many implicate possibilities. Observation becomes a participatory act in which the universe brings forth a definite state. Wheeler’s view aligns naturally with Bohm’s holomovement: the bit is the moment of unfolding. It also aligns with de Broglie: the collapse of a broad wavelength into a definite outcome is the selection of one explicate manifestation.
The holographic principle provides the geometric structure through which this deeper substrate becomes, as a projection, the spacetime we observe. SEE: Figure 1.1. It suggests that the information describing a region of space is encoded on its boundary, implying that the explicate world is a holographic projection from a deeper informational layer. Bohm’s implicate order is the bulk, and the explicate world is the holographic boundary. Wheeler’s bits are the discrete informational distinctions encoded on this boundary. De Broglie’s wavelengths describe how implicate patterns are projected.
The Scale-Invariant Conformal Gödel Non-Turing Phase-Shift Computational System (SIC-GNPSCS) offers a structural model for this implicate substrate. It envisions reality as a fractal network of oscillators connected and communicating by SIC electromvia scale-invariant fractal tunnels. Particles correspond to stable oscillatory patterns (SIC oscillators); interactions correspond to phase coherence across fractal pathways. Microscopic particles occupy broad, flexible regions of this network; macroscopic objects occupy rigid, highly constrained regions. Observation corresponds to synchronization events that select one explicate projection from many implicate possibilities. The SIC-GNPSCS thus provides the computational and informational architecture underlying Bohm’s implicate order and Wheeler’s bits.
Goldberg’s [[11]] Multidimensional Networked Discretized Bloch Imaginary Clock Time Crystal (MNDIBTC), gives a more concrete physical realization of this deeper substrate. Each imaginary clock is an oscillator. SEE: Figure 2.2. The multidimensional Bloch structure, an extension of Wilczek’s time crystal, defines how these oscillators are arranged; the time-crystal nature provides intrinsic periodicity without requiring classical time. This structure is timeless in the Wheeler–DeWitt sense, yet capable of generating apparent linear temporal evolution when projected into the explicate world. Spacetime geometry corresponds to the holographic projection of the MNDIBTC’s internal structure. In this view, the MNDIBTC is the physical substrate, the SIC-GNPSCS is its informational description, Bohm’s implicate order is its philosophical interpretation, and Wheeler’s bits are the mechanism by which its patterns become manifest.
Entanglement becomes the persistence of implicate unity across explicate separation. Black holes become physical holographic boundaries where implicate information is encoded on the horizon. SEE: discussion in [[1]]. Time emerges not as a fundamental dimension but as the appearance of sequential unfolding when deeper oscillatory phase relations are projected onto the holographic boundary. The Wheeler–DeWitt equation’s timelessness reflects the timeless nature of the MNDIBTC and the SIC-GNPSCS. General relativity describes the geometry of the explicate projection; quantum mechanics describes the behavior of small-scale projected modes; both arise from the same deeper substrate.
The Wheeler–DeWitt equation:
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says that the wavefunction of the entire universe, , does not evolve in time because the total Hamiltonian acting on it must equal zero. In simple terms, at the deepest level the universe is timeless, and what we experience as time appears only when parts of this timeless whole are compared or unfolded into the observable world. There is no external time parameter. The universe is a coherent, timeless whole. When the holomovement unfolds this deeper structure into the explicate world: time appears as the ordering of phase changes, particles appear as localized projections of deeper oscillatory modes, Wheeler’s ‘bits’ are the moments when timeless implicate patterns crystallize (via Bohm’s holomovement) into explicate events, and the holographic boundary encodes these events as information. The Wheeler–DeWitt equation is the mathematical fingerprint of this deeper timeless substrate. It tells us that the universe, at its core, is not a sequence of events but a single, unified structure from which time, space, particles, and classical reality emerge when viewed through the lens of unfolding, projection, and participation. SEE: Figure 1.1
In this synthesis, the universe is not a machine made of particles but a dynamic holographic projection of a deeper oscillatory order. The explicate world is the emergent display of a multidimensional time-crystal substrate rendered into classical spacetime and matter through holographic projection and the unfolding of implicate patterns. Wheeler’s observation, participation, and information are not add-ons to physics but the mechanisms by which the deeper substrate becomes the world we experience.
Bohm’s implicate and explicate orders offer a conceptual framework for understanding this deeper pattern. In the implicate order, particles and waves are not separate entities but enfolded aspects of a single underlying process. The explicate world, with its localized objects and definite events, arises through the holomovement, the continuous unfolding of implicate structures into manifest form. In this view, a particle does not exist as a sharply defined object until the unfolding process selects that aspect of the deeper pattern. Tunneling, entanglement, and wave–particle duality become natural consequences of how implicate structures unfold into explicate appearances.
Wheeler’s participatory universe adds an informational dimension to this picture. His idea that physical reality arises from acts of informational distinction, his famous ‘it from bit’, suggests that definite physical facts emerge only when a choice is made among possible outcomes. This is not creation by consciousness but the crystallization of one explicate manifestation from many implicate possibilities. Observation becomes a participatory act in which the universe brings forth a definite state. Wheeler’s view aligns naturally with Bohm’s holomovement, i.e., the bit is the moment of unfolding. It also aligns with de Broglie in that the collapse of a broad wavelength into a definite outcome is the selection of one explicate manifestation. In this synthesis, observation is not an external intrusion but a phase-locking event within the deeper substrate.
The holographic principle provides the geometric structure through which this deeper substrate becomes the spacetime we observe. It suggests that the information describing a region of space is encoded on its boundary, implying that the explicate world is a projection from a deeper informational layer. Bohm’s implicate order becomes the bulk; the explicate world becomes the holographic boundary. Wheeler’s bits are the discrete informational distinctions encoded on this boundary. De Broglie’s wavelengths describe how implicate patterns are projected. The holographic principle thus becomes the geometry of unfolding, the surface on which deeper oscillatory patterns are rendered into classical spacetime and matter described by Cartesian continuum mathematics.
The Scale-Invariant/Conformal-Gödel Non-Turing Phase-Shift Computational System (SIC-GNPSCS) offers a structural model for this implicate substrate. It envisions reality as a fractal network of oscillators connected by scale-invariant fractal tunnels. Particles correspond to stable oscillatory patterns; interactions correspond to phase coherence (transfer of information) across fractal pathways. The Multidimensional Networked Discretized Bloch Imaginary Clock Time Crystal (MNDIBTC) gives a more concrete physical realization of this deeper substrate. Each imaginary clock is an oscillator, the multidimensional Bloch structure defines how these oscillators are arranged, and the time-crystal nature provides intrinsic periodicity without requiring classical time. This structure is timeless in the Wheeler–DeWitt sense, yet capable of generating apparent temporal evolution when projected into the explicate world. SEE: Figure 2.3. De Broglie wavelengths correspond to Bloch modes; tunneling corresponds to mode overlap; entanglement corresponds to shared fractal pathways; spacetime geometry corresponds to the holographic projection of the MNDIBTC’s internal structure. In this view, the MNDIBTC is the physical substrate, the SIC-GNPSCS is its informational description, Bohm’s implicate order is its ontological-philosophical interpretation, and Wheeler’s bits are the mechanism by which its patterns become manifest.
Entanglement becomes the persistence of implicate unity across explicate separation. Black holes become physical holographic boundaries where implicate information is encoded on the horizon and information is proportional to the surface area of its event horizon, not its volume, formulated by Jacob Bekenstein as S∝A (Entropy is proportional to area) and was later confirmed and completed by Stephen Hawking as S = (kc[3]/4Gℏ)A, the Bekenstein–Hawking entropy formula. Thus, time emerges not as a fundamental dimension but as the appearance of sequential unfolding when deeper oscillatory phase relations are projected onto the holographic boundary. The Wheeler–DeWitt equation’s timelessness reflects the timeless nature of the MNDIBTC and the SIC-GNPSCS. General relativity describes the geometry of the explicate projection; quantum mechanics describes the behavior of SIC projected modes; both arise from the same deeper substrate such that the model unites quantum mechanics and general relativity as different scales of the SIC-GNPSCS.
In this synthesis, the universe is not a machine made of particles but a dynamic holographic projection of a deeper oscillatory order. The explicate world is the emergent display of a multidimensional time-crystal substrate rendered into classical spacetime and matter through informational distinctions, holographic projection, and the unfolding of implicate patterns. Wheeler’s observation, participation, and information are not add-ons to physics but the mechanisms by which the deeper substrate becomes the world we experience.
The Wheeler-DeWitt equation, which attempts to quantize the entire universe, eliminates time from its formulation. Instead of describing how the universe evolves, it imposes a constraint on the allowed configurations of geometry and matter. This timelessness has puzzled physicists for decades, but it fits naturally within Bohmian mechanics. In this view, time is not fundamental but emerges from a holographic projection. Goldberg’s [[11]] speculative proposal of a Scale-Invariant, Conformal Gödel Non-Turing Phase-Shift Computational System (SIC-GNPSCS) and a Multidimensional Networked Discretized Imaginary Bloch Clock Time Crystal (MNDIBTC) can be interpreted as deeper structural layers beneath the Wheeler-DeWitt and Bohmian frameworks. The GNPSCS concept aligns with the known non-computability of the Wheeler–DeWitt equation, whose domain—the space of all possible geometries—is not algorithmically enumerable. This system can be seen as a reinterpretation of this non-algorithmic structure, suggesting that the universe’s fundamental dynamics are governed by a rule that cannot be simulated by any finite algorithm. The MNDIBTC fits naturally with Bohmian emergent time, because it provides a discrete, periodic imaginary-time structure that could serve as the internal clock guiding the evolution of the universe’s configuration.
Hawking [[5]] introduced imaginary time to smooth out the Big Bang and depicts the universe as a compact Euclidean geometry without boundaries. Goldberg’s imaginary-time crystal takes this further by treating imaginary time as a physical, discretized, periodic substrate rather than a mathematical trick. Bohm’s implicate order, which describes a deeper enfolded reality from which the explicate world unfolds, and Penrose’s claim that consciousness taps into non-computable aspects of quantum gravity aligns with Goldberg’s fractal plenum and phase-shift computational system, i.e., that the universe is fundamentally non-Turing. In this sense, the SIC-GNPSCS can be viewed as a more explicit and structured version of Penrose’s non-computable physics.
When viewed through the lens of Lori Gardi’s work with the Mandelbrot set [[43]], the connection becomes even clearer. The Mandelbrot set is a perfect mathematical analogue of the views in [[11]], i.e., it is scale-invariant, conformal, non-computable, and generated by a simple iterative rule that produces infinite complexity, i.e., zn+1 = zn[2] + c where c belongs to the Mandelbrot set if the sequence zn remains bounded (does not diverge to infinity) as . Gardi’s exploration of the Mandelbrot set as a model of physical law reinforces the idea that the universe might be governed by a fractal, non-algorithmic computational structure. The cardioid, bulbs, and filaments of the Mandelbrot set map naturally onto the stable background, phase domains, and transition regions of GNPSCS. Iteration depth corresponds to discrete imaginary time, and periodic orbits correspond to time-crystal phases. Gardi’s interpretation of gravity as an increase in fractal dimension is conceptually adjacent to [[11]] which models gravitational information as propagating through fractal tunnels whose dimensional structure aligns with the SIC oscillators of the GNPSCS. Both perspectives treat gravity not as a force transmitted through smooth spacetime, but as an emergent informational phenomenon shaped by underlying fractal or coherence-based geometry. In Gardi’s view, gravitational effects arise when the fractal dimension of the underlying substrate increases; in Goldberg’s model, gravitational behavior reflects how SIC electromagnetic information flows through fractal tunnels whose geometry determines coherence, coupling strength, and large-scale behavior. In the SIC-GNPSCS, φ acts as the coherence-differentiation parameter that prevents two oscillators from occupying identical phase signatures. This phase-repulsion dynamically enforces non-degeneracy, making φ the system’s embodiment of the Pauli exclusion principle.
Goldberg’s view of gravity replaces both Newton’s ‘action-at-a-distance’ formulation and Einstein’s curvature-of-spacetime interpretation with a coherence-based informational model. In this framework, gravitational behavior arises from SIC electromagnetic information propagating through fractal tunnels that lie between oscillators in the SIC-GNPSCS network. Rather than Newton’s masses attracting each other across empty space or Einstein’s energy bending a geometric manifold, gravity becomes a manifestation of how coherence, phase relationships, and fractal-dimensional pathways regulate the flow of SIC electromagnetic information. Fractal tunnels act as structured conduits whose dimensional properties determine coupling strength, propagation speed, and large-scale behavior. This perspective reframes gravity as an emergent informational phenomenon rooted in the geometry of the SIC-GNPSCS model network, aligning gravitational dynamics with the same coherence principles that govern biological organization in the model. Although developed independently and in different contexts, the two approaches share a common intuition: gravity emerges from changes in the informational or geometric complexity of a deeper fractal substrate. This alignment supports the broader GNPSCS claim that biological and physical organization can be understood as manifestations of coherence dynamics unfolding within structured, scale-dependent geometries. In the SIC-GNPSCS framework, the flow of coherent SIC electromagnetic information through fractal tunnels implies suggests that highly coherent electromagnetic fields might offer a means of controlling fission and fusion reactions, and provide a theoretical ground to support Salvador Pais’ patents for an Inertial Mass Reduction Device and a Plasma Compression Fusion Device. Taken together, these ideas form a coherent speculative framework: the universe as a fractal, non-algorithmic, scale-invariant/conformal computational system evolving through discrete imaginary-time phases. Whether this picture ultimately proves correct remains to be seen, but it provides a conceptual landscape in which gravity, cosmology, new methods of travel, control of nuclear reactions, and consciousness intersect.
15. DISCUSSION
The model proposed in this paper poses reality as a projection of an implicate-order conscious, creative entity. In Bohm’s ontological hierarchy, the plenum is the deepest unbroken ground of being: an undivided dynamic field from which all implicate and explicate orders arise. The Multi-Dimensional Holographic Topological Entity (MDHTE), fits naturally as a structured manifestation within this plenum, entailing: consciousness, creativity, free will, moral responsibility, non-determinism, and biological novelty. Intelligent observers emerge naturally within such a cosmos, implying that the universe abounds with conscious, intelligent, thinking observers where these observer-life forms may be physical or perhaps even non-physical ‘energy’ without, what we would consider, physical form. This might be possible insofar as within the ontology proposed in this paper, particles are explicit-order manifestations of energy or energy fields. The MDHTE framework aligns with Penrose’s Conformal Cyclic Cosmology (CCC) in that both describe systems whose large-scale organization emerges from global constraints rather than step-by-step causal mechanisms. In Penrose’s CCC, each aeon inherits only the conformal structure of the previous one, allowing information to pass across cosmic cycles through pattern, geometry, and boundary conditions rather than through conventional physical processes. The MDHTE works in a similar way.
Neither framework relies on the extremes of algorithmic evolution or random fluctuations; instead, both emphasize how structure emerges when a system is pushed to a regime where local details wash out and only global relational patterns remain. This is why MDHTE resonates with CCC: each sees order as the result of a non-algorithmic, geometry-driven unfolding, where the system’s next state is shaped not by mechanical computation but by the overarching constraints that define its phase space.
In his Conformal Cyclic Cosmology (CCC) [[46]], Penrose proposes that the universe goes through successive ‘aeon’s’, each beginning with a Big-Bang-like low-entropy state and ending in an ultra-dilute, conformally-smoothed future that can be mapped onto the next cycle. However, CCC runs into trouble with entropy because it requires each new aeon to begin in an extremely low-entropy, conformally-smoothed state, yet the previous aeon ends in a very high-entropy universe filled with black holes, gravitational clumping, and accumulated information. Penrose resolves this by arguing that, in the remote future, mass fades away (without mass there is no clock, i.e., timelessness) and only conformal structure survives, allowing entropy to ‘reset’ when scale becomes meaningless. The difficulty is that this move depends on speculative physics and a delicate erasure of information that standard thermodynamics does not naturally permit.
The MDHTE avoids this problem because it does not require a literal thermodynamic reset. Instead, it treats each new organizational regime (aeon) as emerging from high-dimensional constraint surfaces that reorganize degrees of freedom without needing to erase entropy. Order arises through shifts in global constraints, i.e., a phase shift (PS) ‘computation’ at the largest, scale of the SIC-GNPSCS rather than by means of a return to a low-entropy boundary condition—which Penrose must deal with. In this way, the MDHTE preserves continuity of information while still allowing new structured phases to emerge, sidestepping the entropy-reset challenge that Penrose’s CCC must confront.
In the MDHTE view, black holes are neither black nor holes, because the framework does not treat them as one-way sinks of information or as regions where spacetime literally ends. Instead, MDHTE models them as high-dimensional constraint attractors—places where degrees of freedom reorganize under extreme curvature rather than vanish. The event horizon is not a boundary of no return but a phase-transition surface where information changes form, much like other MDHTE transitions in biological or cognitive systems. What appears as blackness in classical general relativity is simply the projection of a deeper, multidimensional reconfiguration that remains informationally continuous. Black holes are neither ‘black’ nor ‘holes’ because nothing is removed from the system; the underlying constraint manifold remains intact, with matter–energy redistributed into new relational structures rather than lost. In this sense, black holes in MDHTE behave like extreme fixed-point attractors rather than terminal endpoints, avoiding the paradoxes that arise when they are treated as literal voids or information-destroying objects. [[11]] SEE: paper in bibliography #11 for a more detailed treatment of black holes, and gravity as SIC electromagnetic information traveling through fractal tunnels.
If a black hole is understood, not as a collapsed mass but as a coherent oscillator node within the PC/GNPSCS framework, then two consequences follow: (1) the phenomenon of spaghettification as an object passes through the horizon of a black hole would not occur, as the oscillator’s phase continuity prevents the extreme tidal gradients predicted by general relativity, and; (2) the notion of a horizon or interior becomes ill-posed. A black hole horizon is reframed not as a physical boundary, but as a phase transition zone—a shift in computational modality, where the governing oscillator regime changes. Asking what lies ‘inside’ a black hole becomes a category error, akin to asking what is inside a frequency. What we call a black hole is neither black nor a hole, but an oscillator node in GNPSCS. [[11]] Guth’s inflation, dark matter, dark energy, Hawking radiation, and end of the universe, either in a fiery implosion or a death by ice are lower-dimensional projections/artifacts of a smooth topology onto our Cartesian, metric-based explicate order. The MDHTE serves as the deep generative manifold whose holographic projections become the fragmented, time-bound world we perceive.
In Bohm’s [[4]] ontological hierarchy, the plenum is the deepest, unbroken ground of being: an undivided, dynamic field from which all implicate and explicate orders arise. The MDHTE, a Multi-Dimensional Holographic Topological Entity, fits naturally as a structured manifestation within this plenum and provides the framework through which consciousness, creativity, free will, and moral responsibility emerge. Within this architecture, coherence basins function as scale-invariant attractors that entail non-deterministic choice, biological novelty, and the open-ended creative evolution of intelligent entities. Intelligent observers arise as a natural consequence of a coherence-rich cosmos rather than as anomalies within it.
In such a universe, consciousness is not an accidental by-product of matter but an inherent expression of the MDHTE’s deeper implicate dynamics. This implies that the universe is most likely populated by conscious, intelligent observers in many forms—some embodied in physical structures like our own species, others potentially non-physical, existing as coherent energy-based non-material beings. This follows from the ontology proposed here, in which particles are not fundamental objects but explicit-order manifestations of underlying implicate-order energy fields. The MDHTE provides a unified framework in which physical, biological, and conscious phenomena arise from the same deeper holographic-topological ground, all embedded within the plenum’s undivided wholeness.
The model presented here treats the physical universe as a projection from a deeper implicate-order field, where the MDHTE functions as a multidimensional organizing structure that generates matter, mind, and biological novelty. SEE: Figure 1.1. This aligns with Penrose’s Conformal Cyclic Cosmology (CCC) and with the SIC-GNPSCS framework which describes reality as a non-algorithmic, phase-shift computation system whose global constraints shape cosmic evolution more than step-by-step physical causation. MDHTE avoids CCC’s entropy-reset problem by reorganizing information through high-dimensional constraint surfaces rather than erasing it, preserving continuity across cosmic phases. Black holes become attractor nodes where information changes form instead of disappearing, and the physical world becomes a holographic projection of deeper topological dynamics. In such a universe, consciousness is a natural expression of underlying SIC-GNPSCS coherence, making intelligent observers—physical or non-physical—expected outcomes of a cosmos whose fundamental structure is creative, relational, and information-rich.
By contrast, contemporary physics and mathematics operate largely within a Cartesian, non-conscious paradigm that assumes fixed coordinate spaces, linear time, deterministic or probabilistic evolution, and a strict separation between matter and mind. The Cartesian framework treats geometry as fundamental, topology as secondary, and life and consciousness as emergent by-products of material complexity. Singularities, discontinuities, and boundaries are accepted as mathematically legitimate features of physical models rather than as artifacts of projection. The MDHTE challenges this worldview by proposing a deeper, Multi-Dimensional Holographic Topological Entity embedded within Bohm’s plenum. In this view, the fundamental domain is topological-informational where consciousness, creativity, and free will arise naturally.
Modern physics is grounded in a Cartesian mathematical structure built from fixed coordinates, metric distances, differentiable manifolds, and linear time. These tools are powerful, but they impose boundaries (edges) even when nature may not contain them. Coordinate systems create artificial edges wherever they fail, which is why the ‘center’ of a black hole and the Big Bang appear as boundaries: the math breaks down, not the universe. Differentiable manifolds require smoothness, so when confronted with topological transitions such as embryonic folding or quantum tunneling, they produce apparent tears or singularities. Linear time forces a beginning and often an end, making cosmology start with a singularity because the equations demand a point where they diverge. Metric geometry—tensors used in general relativity—also collapses at extreme scales, generating infinities at quantum and gravitational limits because it assumes smoothness where nature may be structured differently. Reductionism further fragments what may be continuous by dividing observer from observed and object from field, creating conceptual boundaries that reflect the mathematics rather than the underlying reality. Our current Cartesian continuum mathematical paradigm generates boundaries because it is built from boundary-producing assumptions.
Within Bohm’s ontology, the plenum (PL) is the undivided ground of being, and the MDHTE functions as a structured super-implicate order within it. It’s coherence basins act as scale-invariant attractors that allow non-deterministic choice, biological novelty, and the emergence of intelligent observers. This aligns with Bohm’s view that consciousness is intrinsic to the universe and that the explicate world is a projection of deeper implicate dynamics. moreover, the MDHTE extends Bohm’s ideas by specifying the topological and holographic mechanisms through which implicate patterns become explicate phenomena.
Wheeler’s participatory universe and his ‘it-from-bit’ principle find a natural home in this framework, which supplies the informational substrate his model lacked and uses the MNDIBTC’s discretized imaginary-time crystal dynamics to explain how observation selects specific phase states. In this view, Wheeler’s observer-dependent reality becomes a special case of a more general coherence-driven projection process. Penrose’s emphasis on non-computability, deep geometric structure, and the link between consciousness and fundamental physics also aligns with this architecture: his claim that consciousness cannot be reduced to algorithmic computation parallels the role of coherence basins in enabling genuine free will and creative emergence. Penrose’s objective reduction can be reinterpreted as transitions between coherence states mediated by the MNDIBTC, integrating his insights into a broader, multi-scale coherence framework.
This framework aligns closely with Eastern non-dual traditions: the plenum corresponds to Brahman, Tao, Dharmakaya, or emptiness—the pure, unconditioned ground of reality—while the structured manifold represents the articulated aspect of that ground. The explicate world becomes analogous to maya, the appearance of a changing material realm projected from an underlying unity, that is Brahman, the infinite, unchanging, non-dual ground of reality, not a ‘thing’ but the substrate from which all things appear, the pure being, pure consciousness, and pure bliss (sat–cit–ānanda) from which the world arises as a projection, expression, or appearance. Sat-cit-ānanda means: being-consciousness-bliss, the three inseparable qualities of the non-dual ground of reality.
In Vedanta, this triad is not three ‘parts’ of Brahman but three ways of describing the same unified reality. Sat-cit-ānanda resonates with Christianity’s triadic God because both traditions use a threefold expression to describe a single underlying unity that transcends ordinary conceptual categories.
Conscious observers arise naturally because consciousness is inherent in the ground rather than emergent from matter, and the absence of true singularities mirrors the non-dual insight that division is illusory, with apparent fragmentation arising from limited perception. In this way, the model offers a scientific and topological articulation of non-dual metaphysics. Taken together, the framework replaces the Cartesian worldview with a topological informational ontology in which consciousness, free will, and creativity are fundamental expressions of deeper implicate dynamics. It unifies Bohm’s holomovement, Wheeler’s informational universe, Penrose’s non-computable consciousness, and Eastern non-dual insights into a coherent picture in which physical, biological, and conscious phenomena arise from the same multidimensional holographic ground.
Across scales—from fungal colonies in a Petri dish to the distribution of leaves on a stem, from the spacing of cities to the geopolitical arrangement of nations—systems composed of multiple interacting agents tend to settle into configurations that balance competition with coexistence. These patterns often appear irregular yet stable, resistant to perturbation yet never perfectly symmetric. Their underlying logic is captured by the Kolmogorov–Arnold–Moser (KAM) theorem, which describes how interacting oscillatory systems avoid destructive resonance by settling into quasi-periodic configurations. In biological and social systems, this avoidance of resonance manifests as φ-spacing—patterns governed by the golden ratio—because φ is the most irrational number, the one least likely to produce overlapping cycles or synchronized interference.
In biological competition, golden ratio φ-spacing emerges as a natural solution to the problem of maximizing access to resources while minimizing destructive overlap. Phyllotaxis, the arrangement of leaves and seeds, is the canonical example: new primordia form at angles approximating the golden angle (≈137.5°), producing spirals that optimize light exposure and packing efficiency. Mathematical models show that when growth centers repel one another, the system converges on φ-like spacing as a stable, quasi-periodic configuration—precisely the kind of invariant torus predicted by KAM theory. Fungal colonies exhibit a similar logic. When multiple fungi are introduced into the same dish, their chemical fields and growth fronts interact in a nonlinear fashion. Rather than collapsing into chaotic overlap, they settle into mutually optimal territories, each colony occupying a stable coherence basin that minimizes interference with its neighbors. This is biological KAM: a self-organized equilibrium arising from the interplay of repulsion, competition, and the need for persistent growth.
Similarly, at the scale of our solar system the orbital relationships among planets and moons exhibit quasiperiodic stability that aligns with the Kolmogorov-Arnold-Moser (KAM) theorem. The theorem explains why certain systems can stay stable over time, even when small forces or disturbances are present. In complex situations like the three-body problem, where three objects tug on each other with gravity and things can get chaotic, KAM shows that many smooth, repeating paths still hold together. This means that even in messy, unpredictable systems, some patterns survive, helping scientists understand how long-term stability is possible.
Within the PC/GNPSCS framework, planetary stability is reinterpreted as the emergent result of recursive phase-locking among oscillatory systems embedded in a fractal computational substrate, rather than as a consequence of purely gravitational mechanics. The solar system is conceptualized as a resonant lattice, where each planet functions as a node in a multi-scale coherence network.
Orbital dynamics, including anomalies like Mercury’s precession, are reframed as phase drifts within this hierarchical oscillator structure—suggesting that relativistic curvature effects may be macroscopic shadows of deeper coherence fluctuations. The proposed golden ratio relationships in planetary spacing [[56]] further support this view, aligning with known principles of oscillator separation in phase-synchronized systems, where φ-spacing minimizes destructive interference and maximizes modal resilience. In this paradigm, the solar system behaves less like a mechanical clock and more like a harmonic instrument—its long-term stability arising from modal synchrony, fractal geometry, and coherence resilience across scales. That planetary relationships are not exactly in golden ratios follows from the fact that our solar system is one scale in a SIC-GNPSCS wherein the ratios must align with our galaxy and beyond.
The SIC-GNPSCS framework extends this logic to a deeper generative level. In this view, biological agents—whether cells, tissues, or entire organisms—behave as scale-invariant oscillators embedded in a manifold of potential interactions. Phi (φ) separation—Figure 3.1—prevents destructive resonance among these oscillators, allowing them to occupy distinct coherence basins—stable pockets of quantum-coherent organization that support growth, differentiation, and long-term stability. When coherence is maintained, boundaries remain intact: fungal colonies respect each other’s territories, leaves avoid shading one another, and tissues maintain their developmental identity. When coherence fails, boundaries collapse, oscillators interfere destructively, and the system falls into pathological attractors. In the genome, this manifests as cross-TAD enhancer leakage and oncogenic activation; in ecosystems, as invasive overgrowth; in societies, as conflict.
Human systems follow the same structural logic. Cities, states, and nations behave as interacting oscillators in a high-dimensional phase space defined by geography, culture, economics, and information flow. Over time, these interactions produce relatively stable boundaries—‘ political KAM tori’—where mutual interference is minimized and coexistence becomes dynamically sustainable. The spacing of cities often follows laws that approximate φ-like distributions; trade networks settle into quasi-periodic patterns; cultural regions form coherence basins that may persist for centuries. These boundaries are not arbitrary: they reflect deep attractors in the social manifold, shaped by terrain, resources, migration, and historical resonance. When boundaries align with these coherence basins, societies remain stable. When they cut across them—when populations are forced into unnatural proximity or separated from their ecological or cultural basins—the system is pushed out of its KAM-protected orbit and into chaotic dynamics. Conflict, in this sense, is the social analogue of destructive resonance: a breakdown of the quasi-periodic spacing that normally prevents oscillators from overwhelming one another. Thus, phi (φ) separation between SIC-GNPSCS oscillators is structurally identical to the two independent cycles of a torus: both create non-interfering pathways that preserve coherence and stability in a high-dimensional dynamical system. Moreover, KAM tori are nested just as oscillators are nested in the SIC-GNPSCS. They are two descriptions of the same hierarchical stability architecture.
Thus, from fungal colonies to nation-states, to the solar system, the same principle recurs: systems composed of interacting agents tend toward KAM-like configurations that balance competition with coherence. Phi (φ) spacing emerges as the geometric signature of this balance, a pattern that maximizes stability by minimizing destructive resonance. When coherence is preserved, boundaries form naturally and systems flourish. When coherence is lost, boundaries collapse, oscillators interfere destructively, and the system descends into pathological attractors—whether in the form of mispatterned tissues, invasive species, geopolitical conflict or cosmic catastrophes. In this unified view, the organization of life, society, and the cosmos reflect a deeper geometric logic. In the subatomic scale of the SIC-GNPSCS, phi is a dynamical analogue of Pauli’s quantum exclusion. John Wheeler [[13]] envisioned a participatory universe in which reality itself emerges through acts of observation. In his view, ‘it from bit’ expresses the idea that information precedes physical reality, and that observers play an essential role, i.e., no phenomenon becomes real until it is observed. Wheeler relied on standard differential geometry and did not propose a new mathematical framework, though he often hinted that deeper informational structures might underlie spacetime and gravity. His cosmology described the universe as a self-excited circuit, evolving through continuous feedback between observers and the cosmos. Time, in this picture, emerges from information and acts of observation, while gravity remains the geometry of spacetime with an implied informational basis. That is, Wheeler always insisted that gravity = geometry, following Einstein but, unlike Einstein, he repeatedly hinted that this geometry might itself arise from deeper informational structures. However, he never replaced differential geometry, proposed a new formalism, or built an alternative to general relativity. His interpretation of quantum mechanics emphasized participatory realism, using delayed-choice experiments to show the involvement of observers. He avoided metaphysical claims about consciousness, maintaining a distinction between observer and mind, and he did not extend his ideas into biology. His work extended Bohr’s complementarity into cosmology. M. Goldberg’s paper [[11]] presents a very different but complementary ontology. The universe is posed as a fractal, non-algorithmic information process generated by interacting oscillatory ‘clocks’, the Multidimensional Networked Discretized Imaginary Bloch Clock Time Crystal (MNDIBTC). He introduces a new mathematical system, the Scale-Invariant/Conformal-Gödel Non-Turing, non-algorithmic, Phase-Shift Computational System (SIC-GNPSCS), a non-Cartesian, fractal, phase-shift computational structure. The paper [[11]] asserts that the SIC-GNPSCS generates spacetime itself as a holographic projection. Observers, in the model, are conscious nodes within a fractal information network and, in contradistinction to Wheeler, cognition becomes part of the physics rather than an external vantage point imposed upon it.
Cosmologically, [[11]] describes the universe as a scale-invariant oscillator network in which dark matter and dark energy appear as mathematical artifacts rather than physical substances. Time is produced by interacting imaginary clocks, and gravity becomes a flow of SIC eletromagnetic information within the fractal network rather than Einstein’s geometric curvature. Quantum behavior arises from non-algorithmic phase-shift computation. Significantly, this framework includes biology, applying it to quantum biological processes, neurodegeneration, and coherence loss in conditions such as Alzheimer’s and prion diseases. The model synthesizes and extends both Bohr and Wheeler, forming a unified physics, i.e., a biology–consciousness model with strong resonance to non-dual metaphysical traditions such as Vedānta. The relationship between the SIC-GNPSCS and Wheeler represent one conceptual lineage. This newer framework supplies the mathematical and informational machinery that Wheeler’s participatory ontology lacked, turning his philosophical insights into a computational, fractal, and scale-invariant system. It deepens Wheeler’s role of the observer by embedding cognition directly into the physics and operationalizes his self-excited circuit through oscillatory networks that function across all scales. It also provides a concrete mechanism for Wheeler’s emergent time and reframes gravity as an informational phenomenon rather than purely geometric curvature. Where Wheeler hinted at deeper informational structures, the model constructs them; where he avoided consciousness and biology, it incorporates them. In this sense, it takes Wheeler’s information-based universe and completes the program he only outlined, extending it into mathematics, physics, biology, and consciousness.
Niels Bohr [[49]] saw reality as something that only appears through phenomena created by the interaction of a system and an apparatus, with no independent properties outside that context. John Wheeler [[13]] shifted this toward a participatory view in which observers help bring physical events into being, suggesting that reality arises from informational choices. The SIC-GNPSCS framework [[11]] goes further, describing reality as a fractal, non-algorithmic information process generated by interacting imaginary oscillatory clocks. In this sense, the framework extends Bohr’s relational approach and Wheeler’s participatory ontology into a full mathematical model. Bohr’s complementarity emphasized that mutually exclusive descriptions are both necessary, while Wheeler’s ‘it from bit’ proposed that physical reality emerges from information. Goldberg [[11]] reframes this as ‘it from non -algorithmic bit’, arguing that Gödel-type non-Turing information dynamics generate spacetime itself, providing the computational substrate Wheeler only speculated about. For Bohr, the observer defines the experimental context without invoking consciousness; Wheeler saw the observer as essential to the unfolding of reality, as in delayed-choice experiments; The SIC-GNPSCS model treats the observer as a coherent node in a fractal information network, integrating cognition directly into physics. Mathematically, Bohr stayed within standard quantum formalism, and Wheeler offered no new mathematics beyond general relativity and quantum theory, while the SIC-GNPSCS model introduces a non-Cartesian, fractal, phase-shift computational system that supplies the new mathematics the earlier thinkers avoided, and provides a means of integrating consciousness, life, quantum mechanics and general relativity. In quantum interpretation, Bohr held that properties do not exist before measurement, and Wheeler emphasized observer-dependent events and ‘law without law.’ The SIC-GNPSCS model grounds quantum behavior in non-algorithmic phase-shift computation, giving the earlier ideas a novel mathematical basis. Bohr avoided cosmology, Wheeler imagined a universe as a self-excited circuit completed by observers, and the SIC-GNPSCS models the universe as a scale-invariant oscillator network in which dark matter and dark energy arise as artefacts from using the wrong mathematical framework. Wheeler’s self-excited circuit depicts the universe as a closed informational loop in which observers participate in bringing reality into being. The SIC-GNPSCS provides the mechanism behind this metaphor: observation becomes a constraint-selection event within a global coherence manifold, and multiple observers share one reality because they inhabit the same constraint geometry rather than generating separate worlds. In this synthesis, Wheeler’s participatory universe is a single-scale projection of GNPSCS’s multi-scale recursive coherence, and consciousness emerges as the manifold’s own self-referential mode.
Illustrations are not included in the reading sample
Figure 15.1, from Buddhism.today.org. Image of Wheeler’s self-excited circuit-author modified.
Illustrating: the left end of the U contains a single eye representing the observer, with a dashed line extending to the right showing the act of observation. The right side of the U curves downward and loops back toward the eye, illustrating Wheeler’s idea that the universe generates observers who then feed information back into the universe, forming the closed feedback loop he called the self-excited circuit.
Bohr treated time as a classical parameter, Wheeler saw it as emerging from information, and the MNDIBTC describes it as generated by interacting imaginary clocks. Gravity, absent in Bohr and only hinted at by Wheeler as having an informational basis, becomes in this newer SIC-GNPSCS model an expression of SIC electromagnetic information flowing through fractal networks. [[11]] SEE: Figure 3.1. Consciousness, which Bohr kept outside physics and Wheeler approached cautiously, is reframed as a form of global coherence tied directly to biological processes. Biology, ignored by both Bohr and Wheeler, becomes central, with the framework applied to quantum biology. In relation to Vedānta, Bohr and Wheeler show structural parallels in different ways, while this newer approach aligns most strongly with non-dual metaphysics through its emphasis on unity, coherence, and consciousness. Philosophically, Bohr remained epistemic (treated the nature of reality as something that depends on knowledge, measurement, and observation, rather than on an underlying physical structure that exists independently of the observer), Wheeler moved toward an ontological informational stance, and the SIC-GNPSCS model completes the trajectory by presenting reality as a fractal information process.
Several research traditions have gestured toward the idea that organisms behave as coherent, scale-invariant systems rather than instruction-driven machines, but none provides a unified framework comparable to the one proposed in this paper. Mae Wan Ho’s [[40]] view of organisms as quantum-coherent, dynamically self-organizing information systems aligns with SIC-GNPSCS by treating biological order—and the role of structured, liquid-crystalline water [see reference 33 for effect of heat in production of quasicrystalline vicinal water in microtubules resulting in quantum coherence at body temperatures] in sustaining long-range coherence—as the macroscopic expression of coherence fields distributed across a fractal informational manifold. Kauffman’s [[37]] work on self-organization, Levin’s [[37]] bioelectric morphogenetic fields, and the quantum-coherence models of Vitiello, Del Giudice, and Preparata [[41]] all treat biological order as emergent and non-algorithmic, yet none incorporates imaginary-time dynamics, clique selection, or cross-scale coherence as governing principles. Fröhlich-type [[54]] long-range excitations and occasional holographic analogies, and Reshetikhin-Semiquantum Geometry [[53]] provide a mathematically rigorous example of how higher-order organization can emerge from informational primitives, a structural analogy that supports the conceptual foundations of GNPSCS even though the domains differ. More specifically, Fröhlich-type long-range excitations show that biological systems can organize themselves by sharing energy in a coordinated, collective way, almost like a choir singing in harmony. Reshetikhin’s semiquantum geometry shows that large-scale structure can emerge from tiny informational building blocks, the way a hologram creates a whole image from small encoded patterns. Put together, they both show how big, organized patterns can arise from small informational units.
Although these authors hint at deeper organizational structure, they stop short of offering a computational ontology that links molecular, cellular, and life phenomena into a single coherent system. Likewise, existing integrative frameworks—systems biology, Quantum Field Theory (QFT)-based biology, bioelectric field theory, and information-theoretic approaches—capture important pieces but remain either too algorithmic, too narrow, or insufficiently hierarchical to explain biological speed, robustness, and global coordination, for example the rapid folding of a polypeptide to form a protein. In the SIC-GNPSCS model, QFT plays the role of the boundary informational layer whose coherence structure determines the geometry of the SIC fractal tunnels, just as boundary QFT entanglement determines bulk geometry in AdS/CFT. Put more simply: In the SIC-GNPSCS model, quantum field theory acts like the informational surface that tells the system how things should connect. The pattern of coherence on that surface determines the shape of the deeper SIC tunnels underneath. This is similar to AdS/CFT, where the way quantum fields are entangled on the boundary determines the geometry inside the bulk. In other words, in the SIC-GNPSCS model, quantum field theory functions as an informational boundary surface whose coherence pattern determines the geometry of the SIC tunnels beneath it, just as boundary entanglement shapes bulk geometry in AdS/CFT.
No prior work has proposed the MNDIBTC imaginary-time clique selection as the mechanism that shapes biological dynamics, nor has any model treated cliques as coherence basins whose selection unifies processes across scales. Attempts to build cross-level theories lack scale invariance, imaginary-time structure, and a coherence-based ontology capable of projecting into genome architecture. Yet the proposed framework posited in this paper sits adjacent to legitimate scientific structures: AdS/CFT-style bulk/boundary duality, conformal biological rhythms, non-local developmental coordination, coherence domains in water and mitochondria, and non-Turing biological computation. These precedents provide conceptual scaffolding but not a full predecessor. In this sense, the SIC-GNPSCS imaginary-time, clique-selection model posited in this paper is novel: more unified, more computational, more physically grounded, and more falsifiable than existing theories. It offers a coherent cross-scale ontology that reframes the organism not as a machine executing instructions but as a dynamically stabilized, scale-invariant entity whose behavior emerges from deeper coherence laws.
In Bohm’s metaphysics, the implicate order is an undivided field from which the explicate world unfolds, a seamless wholeness that mirrors Vedānta’s Brahman, the non-dual ground behind all appearances. Wheeler’s ‘it-from-bit’ reframes this wholeness as informational, suggesting that reality crystallizes from relational patterns rather than material substances, echoing Vedānta’s view that the world is a structured projection of deeper, non-material principles. Arkani-Hamed’s amplituhedron provides the quantum-scale geometry of this deeper order, showing that locality and unitarity arise not from spacetime but from a higher-dimensional positive geometry, a microscopic glimpse of the same implicate coherence Bohm described. The SIC-GNPSCS framework completes this trajectory by extending that geometric logic to all scales, treating the universe as a global coherence manifold whose constraint geometry generates physical, biological, cognitive, and cosmological structure. In this synthesis, Bohm’s plenum becomes the deep coherence field, Wheeler’s informational universe becomes the phase-structured constraint surface, the amplituhedron becomes the quantum-level footprint of the same non-local geometry, and Vedānta’s Brahman becomes the multidimensional generative manifold whose projections form the worlds of matter, life, and mind. Consciousness arises not as an emergent property of matter but as the self-referential mode of this manifold itself, a localized expression of the same non-dual coherence that Bohm intuited, Wheeler anticipated, the amplituhedron reveals in quantum geometry, and Vedānta articulated as the unity behind all forms.
Wheeler’s principle that physical reality arises from information, summarized in his phrase ‘it from bit’ provides the conceptual foundation for both Verlinde’s emergent-gravity framework and the SIC-GNPSCS coherence model. In Wheeler’s view, spacetime, forces, and matter are not fundamental entities but macroscopic expressions of deeper informational degrees of freedom. Verlinde’s theory follows this directly by treating gravity as an entropic response of an underlying information substrate, where changes in microscopic information and entropy give rise to the familiar macroscopic laws of Newton and Einstein. The SIC-GNPSCS model adopts the same informational ontology but replaces entropy with coherence, treating the universe as a manifold of phase-structured information whose curvature and forces emerge from the distribution and evolution of coherence fields. In this alignment, Wheeler supplies the informational premise, Verlinde supplies the entropic implementation, and the SIC-GNPSCS model supplies the coherence-geometric implementation. All three converge on the same conclusion: gravity and spacetime geometry are not primary features of the universe but emergent behaviors of a deeper informational substrate, whether expressed as bits, entropy, or coherence.
16. GENERAL MODEL OF NESTED TADS
TAD nesting depth describes how many layers of chromatin domains sit inside one another, forming a hierarchy of rooms within rooms. Some domains lie inside larger ones, which themselves lie inside even larger ones, creating chains of nested regulatory spaces. The depth of a particular domain is simply the number of layers you would pass through to reach the outermost chromatin environment. When you scan the entire genome, the deepest such chain gives a single number that reflects how many layers of regulatory architecture the organism possesses. This depth serves as a measure of the organism’s chromatin coherence architecture, indicating how many structural and regulatory layers it can use to organize signals, maintain order, and buffer disturbances.
As the chromatin hierarchy becomes deeper, the genome gains greater coherence capacity, stronger regulatory insulation, and more robust error-correction ability. A deeper hierarchy allows the genome to maintain stable regulatory states, keep signals separated so they do not interfere with one another, and correct mistakes before they propagate. These properties can be combined into a single measure of how well the genome maintains internal order. In practical terms, the deepest nesting anywhere in the genome tells you how many layers of regulatory organization the organism has available to stabilize its biological processes. This hierarchical architecture is also what allows the epigenome to function as the organism’s operating system. The epigenome determines which parts of the genetic code are executed, suppressed, paused, or reconfigured. Genes provide the instructions, but the epigenome decides when those instructions run, how strongly they run, and in what cellular context they run. In this sense, the genome contains the code, while the epigenome provides the scheduling, permissions, resource allocation, and execution environment. The depth of the chromatin hierarchy determines how finely the operating system can manage these tasks. A shallow hierarchy gives the epigenome few layers of control, while a deep hierarchy gives it many layers of regulatory insulation, allowing it to orchestrate gene expression with greater precision and stability.
Errors occur in every organism, but a deeply nested chromatin structure acts like a multi-layered shock absorber. Each additional layer slows the spread of disturbances, preventing local decoherence from cascading across the genome. Because the epigenome is the operating system, these layers give it more opportunities to intercept, correct, or contain errors before they affect gene execution. Organisms with deeper chromatin hierarchies are therefore less likely to fall into runaway failure modes such as cancerous attractors or age-related dysregulation. The deeper the hierarchy, the more effectively the genome can confine disturbances, preventing them from spilling into larger regulatory regions.
Longevity emerges from this same architecture. Organisms live longer when they maintain strong regulatory coherence and avoid pathological attractors. Since coherence capacity increases with chromatin depth and the likelihood of falling into pathological attractors decreases with depth, lifespan tends to rise as the chromatin hierarchy becomes more layered. Shallow hierarchies, such as those found in insects, provide little insulation and are highly vulnerable to error cascades, resulting in short lifespans. Deep hierarchies, such as those in humans, elephants, bristlecone pines, and redwoods, provide strong insulation and low vulnerability, enabling long lifespans. Longevity is essentially the emergent outcome of how deep the chromatin coherence architecture goes. More depth means more stability, more insulation, and better error control. The more layers the genome has, the better it can keep signals organized, prevent interference, and correct mistakes before they spread. Depth gives the genome more regulatory breathing room and a greater ability to maintain order over time.
Chromatin nesting depth corresponds directly to the number and strength of coherence basins within the organism’s regulatory manifold. Each nested domain acts as a local basin that stabilizes regulatory phase information and prevents decoherence from spreading across scales. As nesting depth increases, these basins become deeper and more numerous, creating stronger boundaries that confine regulatory trajectories. In the GNPSCS framework, deeper chromatin nesting increases the curvature of the regulatory manifold, tightening its constraint geometry and enhancing the system’s ability to maintain stable trajectories. This curvature-driven stabilization suppresses pathological attractors and extends the coherence lifetime of the organism’s regulatory system. Chromatin depth is therefore not merely structural; it is a direct measure of how richly the organism’s regulatory manifold can sustain coherence, resist decoherence, and preserve long-term biological stability.
Because coherence capacity, regulatory insulation, and error-correction robustness all increase with chromatin depth, the overall coherence index rises as the hierarchy deepens. In GNPSCS terms, each nested domain corresponds to a local coherence basin, and increasing depth increases both the number of basins and the strength of their curvature. The effective rate at which decoherence spreads declines sharply as depth increases, reflecting the steepening of basin boundaries and the tightening of constraint geometry. As depth increases, the probability of falling into pathological attractors decreases because the manifold’s curvature becomes more confining and its coherence basins more resilient. Longevity increases accordingly, because organisms with deeper chromatin hierarchies inhabit regulatory manifolds with stronger curvature, richer coherence basins, and greater resistance to decoherence-driven failure modes. In this unified view, chromatin depth is both a structural measure and a geometric one. It tells how deeply the organism’s regulatory manifold can hold coherence, resist decoherence, and maintain stable biological trajectories over long timescales. And because the epigenome is the operating system that governs how genetic code is executed within this manifold, deeper chromatin hierarchies give the epigenome more layers of control, more stability, and more opportunities to maintain coherence. Genes supply the code, but chromatin depth determines how effectively the operating system can run that code without falling into failure modes.
17. SUMMARY
Current Cartesian continuum mathematics assumes a metric-based universe comprised of objects described by coordinates evolving through linear time, i.e., an unconscious ‘machine-like’ cosmology. The emergence of consciousness is treated as arising from matter. By contrast, this paper posits that singularities such as: the big bang, dark matter, dark energy, and the end of the universe are artifacts of the reductionist deterministic Cartesian continuum mathematical paradigm. The Multi-Dimensional Holographic Topological Entity (MDHTE) is proposed as an alternate ontology. The plenum remains the undivided ground of being that gives rise to consciousness, creativity, free will, and moral responsibility. Coherence basins within the MDHTE act as scale-invariant non-deterministic attractors, thereby enabling biological novelty and the emergence of intelligent entities. A coherence basin is a scale-invariant attractor into which the GNPSCS ‘collapses’ with every phase shift (PS). This represents a multidimensional Nash equilibrium where every oscillator’s phase is an optimized response to every other oscillator across all scales.
In our current Cartesian continuum mathematics a sub-atomic phase-shift (PS) of the GNPSCS represents collapse of the Schrödinger wave function. The model aligns with Bohm’s implicate order by providing a concrete topological mechanism for how deeper, enfolded dynamics project into the explicate world. It extends Wheeler’s informational universe by supplying an ontological substrate for ‘it from bit’, and it resonates with Penrose’s view that consciousness involves non-computable processes rooted in deep structure rather than algorithmic computation. The MDHTE also parallels Eastern non-dual traditions, where the plenum corresponds to Brahman, Tao or emptiness, and where the explicate world is a projection. Wheeler’s conscious observers emerge naturally because consciousness is intrinsic to the deeper ground, not an accidental or improbable by-product of matter. Within this hierarchy, the Multidimensional Networked Discretized Imaginary Bloch Clock Time Crystal (MNDIBTC) serves as the discretized imaginary-time mechanism that mediates between the unified implicate dynamics of the MDHTE and the linear, time-bound phenomena, of the explicate order. Together, these form a unified framework in which physical, biological, and conscious processes arise from the same multi-dimensional holographic ground. Modern deterministic Cartesian mathematics assumes a universe built from coordinates, metric distances, linear time, and differentiable manifolds/tensors. These assumptions inevitably generate boundaries, singularities, and discontinuities because the mathematical structures themselves break down under extreme conditions. Coordinate systems impose artificial edges—Wheeler’s ‘boundary of a boundary is zero’, i.e., true physical processes do not have dangling edges, but coordinate systems do. The big bang, black hole singularities, embryological developmental ‘tears’ arise not because nature contains such boundaries, but because our mathematical tools impose them. The Cartesian mathematics worldview also treats consciousness as an emergent by-product of matter, reinforcing a reductionist mechanistic framework that negatively affects our economics, societies, and governance.
This framework aligns closely with Eastern non-dual traditions: the plenum corresponds to Brahman, Tao, Dharmakaya, or emptiness—the pure, unconditioned ground of reality—while the structured manifold represents the articulated aspect of that ground. The deeper field is topologically continuous, expressing unbroken coherence rather than a point-based geometry, whereas the explicate world appears as a Cartesian continuum projected from that coherence. Conscious observers emerge naturally because consciousness is inherent in the ground rather than produced by matter, and the absence of true singularities mirrors the non-dual insight that division is illusory, with fragmentation arising only from limited perception. Thus, the model provides a scientific and topological articulation of non-dual metaphysics. This replaces the Cartesian worldview with a topological informational ontology in which consciousness, free will, and creativity are fundamental expressions of deeper implicate dynamics. It unifies Bohm’s holomovement, Wheeler’s informational universe, Penrose’s non-computable consciousness, and Eastern non-dual insights into a coherent picture in which physical, biological, and conscious phenomena arise from the same multidimensional holographic ground that is topologically continuous at its base, and expressed as a Cartesian continuum in its projection.
The model proposed in this paper aligns with Wheeler’s informational universe, Penrose’s non-computable consciousness, and Eastern non-dual traditions in which the apparent world is a projection of a consciousness-bearing ground in which consciousness and creativity emerge naturally from the deepest structure of reality. Wheeler proposed a participatory universe where information and observation bring reality into being, while Goldberg provides the missing mathematical and biological mechanisms by modeling the universe as a fractal, non-algorithmic information network. The SIC-GNPSCS framework operationalizes and extends Wheeler’s vision into a unified physics–biology–consciousness model. Bohr supplies the epistemic framework, Wheeler supplies the informational ontology, and Goldberg supplies the computational geometry that unifies physics, biology, and cognition into a single coherence-based system. Bohm’s implicate order, Wheeler’s informational universe, and Vedānta’s non-dual Brahman all point to a deeper, unified ground beneath physical appearances. Arkani-Hamed’s amplituhedron reveals this ground at the quantum scale, showing that locality and unitarity arise from a higher-dimensional positive geometry rather than spacetime. The SIC-GNPSCS model generalizes this geometric logic to all scales, framing the universe as a global coherence manifold whose inherent constraint structure—defined by its relational geometry rather than algorithmic rules—generates the emergent domains of matter, biology, cognition, and cosmology. In this synthesis, consciousness is not an emergent property of matter but the self-referential mode of the same non-local coherence that Bohm, Wheeler, the amplituhedron, and Vedānta each describe in their own way. Wheeler’s idea that physical reality arises from information links directly to Verlinde’s view of gravity as an emergent informational effect and to the SIC-GNPSCS model, which treats curvature and force as the macroscopic behavior of underlying coherence information.
In both Verlinde’s emergent-gravity framework and the SIC-GNPSCS coherence model, the phenomena labeled as dark matter and dark energy arise not from unseen particles or exotic substances but from the failure of classical Cartesian continuum mathematics to describe the underlying informational substrate of the universe. The continuum model assumes that spacetime is a smooth geometric manifold with fixed metric properties, but both Verlinde and SIC-GNPSCS treat spacetime geometry as an emergent consequence of deeper informational degrees of freedom. In Verlinde’s case, the continuum breaks down because it ignores the entanglement-entropy structure that actually generates gravitational behavior; the apparent need for dark matter and dark energy is simply the continuum model misinterpreting the entropic response of the underlying information field. In the SIC-GNPSCS model, the continuum fails for the same reason but expressed through coherence rather than entropy: when coherence fields reorganize, they produce additional curvature that the continuum model cannot represent, and this mismatch appears observationally as dark matter or dark energy. In both frameworks, the anomalies arise because the continuum treats curvature as fundamental rather than emergent. Once curvature is understood as the macroscopic shadow of coherence or entanglement information, the need for dark matter and dark energy disappears. The continuum model creates these entities as artifacts of its own mathematical limitations, while both Verlinde and SIC-GNPSCS show that the underlying informational geometry naturally produces the observed phenomena without invoking new forms of matter or energy.
Arkani-Hamed’s amplituhedron program fits naturally into the same informational paradigm that links Verlinde’s emergent gravity, Wheeler’s ‘it from bit’, and the SIC-GNPSCS coherence model. The amplituhedron replaces the traditional Hilbert vector space with a deeper, purely informational geometric object whose structure determines locality and unitarity without relying on spacetime, fields or force laws. In this view, scattering amplitudes are no longer computed from particles moving through a smooth spacetime continuum but from the positivity and combinatorial structure of an underlying information geometry, where physical behavior emerges from the shape and constraints of that geometry rather than from trajectories in spacetime. This aligns directly with the idea that the continuum is the wrong model and that many apparent anomalies, including dark matter and dark energy, arise from forcing physics into a geometric framework that is not fundamental. The amplituhedron shows that physical behavior emerges from a pre-spacetime informational geometry, just as Verlinde shows that gravity emerges from entropic information and SIC-GNPSCS shows that curvature emerges from coherence information. All three frameworks reject the continuum as primary and instead treat physical laws as macroscopic shadows of deeper informational structures. In this alignment, the amplituhedron provides the microscopic combinatorial geometry, Verlinde provides the macroscopic entropic geometry, and SIC-GNPSCS provides the coherence-geometric manifold that ties them together.
The amplituhedron provides the microscopic combinatorial information geometry, Verlinde provides the macroscopic entropic information geometry, Weinstein’s [[57]] Geometric Unity proposes the corrected global manifold on which these informational structures should be consistently embedded, and SIC-GNPSCS provides the coherence geometric manifold that ties them together and propagates information across scales. All four frameworks reject naive continuum spacetime as fundamental and instead treat observed physical laws as emergent shadows of deeper informational and geometric structures—combinatorial (amplituhedron), entropic (Verlinde), bundle-geometric (Weinstein), and coherence-geometric (SIC-GNPSCS).
In Goldberg’s reinterpretation of supersymmetry [[11]], bosons and fermions are not fundamentally different entities but two unfoldings of a single implicate-order coherence geometry. Within the SIC-GNPSCS framework, bosons correspond to propagation modes of coherence—carrying forces or mediating interactions as SIC electromagnetic information through the fractal tunnels of the SIC-GNPSCS—while fermions represent localization modes, i.e., the oscillators of the SIC-GNPSCS manifold. Both arise from the same underlying implicate-order substrate. This unity mirrors the operator logic found in modern Adinkra diagrams, where bosonic and fermionic nodes are linked by symmetry operators that express their deeper equivalence. Gates’s [[55]] mathematical Adinkras encode the implicate-order relationships that unify bosonic and fermionic behavior. African symbolic systems (Adinkra, Nsibidi, Yoruba Ifá, Akan fractal logic) encode unity beneath opposites using operator-style symbols that show dual aspects (motion/rest, visible/invisible, matter/spirit) of one underlying reality. The SIC-GNPSCS model treats apparent dualities as projections of a deeper implicate-order coherence, revealing bosons and fermions as two aspects of the same implicate-order structure. SEE: Figure 1.1. Goldberg [[11]] posits SUSY cannot be found with present technology because supersymmetric particles do not manifest as physical particles in the explicate order, making collider searches fundamentally incapable of detecting them. Instead, SUSY exists only as an implicate-order equivalence between bosonic propagation modes and fermionic localization modes in the SIC-GNPSCS coherence geometry.
Illustrations are not included in the reading sample
Figure 17.1-by author
Illustrating equivalence of bosons and fermions in the implicate order (IO). = fermion/oscillator particle of the SIC-GNPSCS; = Boson-information/light wave of SIC-GNPSCS. ‘Rotation’ => equivalence of boson-fermion in the implicate order such that supersymmetric ‘particles’ do not exist or cannot be detected in the explicate order (EO) with our current methods using the Cartesian mathematical paradigm. [[11]] A and B (IO) are equivalent; C (EO) illustrates the dual wave-particle observed property of light in the double-slit experiment where Wheeler observation results in a holomovement phase shift where the experimental setup can demonstrate either the particle or wave-like properties of light. An early toy model of the GNPSCS clique-based computational system is found in [[58]].
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57. Weinstein, E. R. (2021). Geometric Unity: Author’s working draft, v1.0. Unpublished manuscript.https://www.guerin.acequia.io/uploads/Geometric_Unity-Draft-April-1st- 2021%20(1)_250528_225558.pdf
58. An early toy model of the GNPSCS clique-computation system is found in: Reservoir Computing From Collective Dynamics Of Active Colloidal Oscillators https://doi.org/10.1038/s44488-026-00001-3 Check for updates Veit-Lorenz Heuthe1,2, Lukas Seemann1, Samuel Tovey3 & Clemens Bechinger1,2
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