Ontorics is a pioneering science dedicated to diagnosing and transforming systems by uncovering and engaging the ontological assumptions that shape their functioning. Based on the Moleka Grid, this science provides a methodological and epistemological framework for navigating systemic crises and designing sustainable interventions across social, political, ecological, and organizational domains. Ontorics integrates African relational philosophies, postcolonial thought, systems theory, and complexity science to establish a comprehensive approach to understanding the implicit premises of collective behavior. By operationalizing ontological diagnostics, Ontorics enables practitioners to anticipate systemic risks, foster emergent innovation, and catalyze holistic transformation.
Table of Contents
1. Introduction: The Need for Ontological Diagnostics
2. The Genesis of Ontorics
2.1 Systems Theory: From Mechanisms to Emergence
2.2 African Relational Philosophies: Ontology as Relational Being
2.3 Postcolonial Epistemology: Decolonizing Diagnostics
2.4 Cognitive & Organizational Sciences: Mapping Mental Models and Paradigms
2.5 Polycrises: The Imperative for Ontological Diagnostics
2.6 Conceptual Integration: Toward a Unified Diagnostic Science
2.7 Conclusion: A New Diagnostic Frontier
3. The Moleka Grid: Structure and Function
3.1 Origins and Intellectual Lineage
3.2 Layer One: The Symptomatic Level
3.3 Layer Two: The Paradigmatic Level
3.4 Layer Three: The Ontological Level
3.5 Operationalizing the Moleka Grid
3.6 Integration with Existing Models
3.7 Case Illustrations
3.8 Philosophical and Epistemological Foundations
3.9 Conclusion: The Power of the Grid
4. Core Concepts of Ontorics
5. Epistemology and Paradigms of Ontorics
5.1 Epistemology as a Constitutive Force and the Relational Nature of Knowledge
5.2 Epistemology as a Constitutive Force and the Relational Nature of Knowledge
5.3 Postcolonial, Indigenous, and Reflexive Foundations of Ontological Responsibility
5.4 Ontorics as a Transdisciplinary Epistemic Architecture
5.5 Object, Method, and Methodology of Ontorics: Formalizing Ontological Diagnostics as a Scientific Practice
5.6 Validation, Rigor, and Scientific Legitimacy of Ontorics
6. Distinctions Between Ontorics and Other Sciences
6.1 Ontorics and Systems Science
6.2 Ontorics and Complexity Science
6.3 Ontorics and Futures Studies
6.4 Ontorics and Innovation Studies
6.5 Ontorics and Philosophy
6.6 Ontorics and Futures Studies
7. Applications and Case Studies of Ontorics
7.1 Introduction to Applications
7.2 Case Study: Climate Adaptation and Sustainability Planning
7.3 Case Study: Innovation Ecosystems
7.4 Case Study: Organizational Transformation
7.5 Case Study: Artificial Intelligence Governance
7.6 Synthesis of Applications
7.7 Integrative Insights and Comparative Analysis of Case Applications
8. Institutionalization of Ontorics
9. Ethics and Planetary Considerations in Ontorics
9.1 Ethics as Ontological Structure Rather Than Normative Add-On
9.2 Relational Responsibility and Distributed Ethics
9.3 Planetary Ethics and Ontological Misalignment
9.4 Ethics, Technology, and the Future of Systemic Intelligence
10. Ontorics as a Civilizational Science
11. Ontorics and the Future of Knowledge, Governance, and Planetary Stewardship
12. General Conclusion – Ontorics and the Future of Scientific Inquiry and Planetary Governance
Objectives and Themes
The primary objective of this work is to establish Ontorics as a pioneering transdisciplinary science dedicated to diagnosing and transforming complex systems by uncovering their deep, implicit ontological assumptions. The central research inquiry focuses on how moving beyond superficial, symptom-based diagnostics toward an engagement with the underlying structures of belief, knowledge, and relational logic can enable more sustainable, ethically grounded, and systemic interventions in an era of global polycrisis.
- Integration of African relational philosophies, postcolonial thought, and complexity science.
- Operationalization of the Moleka Grid as a diagnostic tool for navigating systemic reality.
- Analysis of ontological blind spots and their impact on policy and organizational outcomes.
- Formalization of Ontorics as a rigorous, actionable scientific practice for diverse global domains.
- Reconfiguration of systemic intelligence to prioritize relational coherence and long-term planetary stewardship.
Extract from the Book
Ontorics: The Science of Ontological Diagnostics
Modern systems—ranging from national governments and multinational corporations to urban agglomerations and ecological networks—operate within unprecedented levels of complexity, interdependence, and dynamism. Globalization, technological acceleration, climate change, socio-political polarization, and rapid urbanization have converged to create systems characterized by non-linear interactions, emergent behavior, distributed intelligence, and high uncertainty (Mitchell, 2009; Holland, 2000). Despite significant progress in systems science, policy analytics, and organizational management, many diagnostics and interventions remain superficial, addressing observable symptoms without interrogating the deep ontological assumptions that generate systemic patterns. In this context, systemic crises—ranging from persistent urban inefficiencies to governance failures and ecological degradation—are often misunderstood, misdiagnosed, and mismanaged.
Traditional approaches to diagnostics in policy, management, and social sciences prioritize quantitative outputs and measurable indicators. Urban planners may assess traffic congestion through vehicle counts, public health officials through morbidity and mortality statistics, and development agencies via GDP growth or infrastructure metrics. While these indicators provide valuable insight into system performance, they do not interrogate the implicit beliefs, worldviews, and ontological commitments that shape actors’ decisions and system trajectories. For example, urban governance models that prioritize economic growth may inadvertently undermine community cohesion, informal social networks, and culturally embedded practices, producing unintended negative outcomes despite significant investment (Healey, 1998).
This limitation reflects a broader epistemic challenge identified by leading scholars in complexity and social science. Edgar Morin emphasizes that fragmented knowledge silos obscure the interconnectedness of phenomena, reducing our capacity to understand systemic totality (Morin, 2008). Bruno Latour highlights that modern scientific epistemologies often treat facts as discrete, objective entities, failing to account for the interpretive frameworks that define and guide systemic behavior (Latour, 2005). These critiques underscore a diagnostic blind spot: systems are often assessed through what is visible and measurable, neglecting the ontological fabric that underlies structure, behavior, and emergent outcomes.
Summary of Chapters
1. Introduction: The Need for Ontological Diagnostics: Discusses the limitations of current diagnostic frameworks in modern complex systems and introduces the need for an ontological approach.
2. The Genesis of Ontorics: Explores the intellectual evolution of Ontorics, synthesizing systems theory, African relational philosophies, postcolonial thought, and cognitive sciences.
3. The Moleka Grid: Structure and Function: Details the operational core of Ontorics, mapping systemic reality across symptomatic, paradigmatic, and ontological layers.
4. Core Concepts of Ontorics: Introduces foundational pillars such as ontological blind spots, relational intelligence, and emergent transformation.
5. Epistemology and Paradigms of Ontorics: Formalizes the scientific practice, methodology, and the transdisciplinary epistemic architecture of Ontorics.
6. Distinctions Between Ontorics and Other Sciences: Systematically compares Ontorics with systems science, complexity science, futures studies, innovation studies, and philosophy.
7. Applications and Case Studies of Ontorics: Demonstrates the practical applicability of Ontorics in climate adaptation, innovation ecosystems, organizational change, and AI governance.
8. Institutionalization of Ontorics: Outlines the strategy for embedding Ontorics in academic, research, and policy-making institutions.
9. Ethics and Planetary Considerations in Ontorics: Examines ethics as a constitutive ontological structure rather than a normative add-on, emphasizing relational responsibility.
10. Ontorics as a Civilizational Science: Reconfigures the role of science in deep time and its capacity to facilitate civilizational transformation.
11. Ontorics and the Future of Knowledge, Governance, and Planetary Stewardship: Reflects on the broader impact of Ontorics for future governance and the stewardship of the planet.
12. General Conclusion – Ontorics and the Future of Scientific Inquiry and Planetary Governance: Synthesizes the core arguments, highlighting Ontorics' role in navigating polycrisis and establishing a new diagnostic frontier.
Keywords
Ontorics, Ontological Diagnostics, Moleka Grid, Systems Theory, Complexity Science, Postcolonial Epistemology, Relational Intelligence, Ubuntu, Systemic Transformation, Polycrisis, Planetary Stewardship, Emergent Behavior, Reflexivity, Ontological Governance, Transdisciplinary Science
Frequently Asked Questions
What is the fundamental focus of Ontorics?
Ontorics is a pioneering science designed to diagnose and transform complex systems by uncovering and engaging the deep, implicit ontological assumptions—such as beliefs about existence, agency, and relationality—that shape how these systems function and produce outcomes.
What are the primary thematic pillars of this work?
The work integrates African relational philosophies (specifically Ubuntu), postcolonial epistemology, complexity science, and organizational theory to create a transdisciplinary framework that moves beyond surface-level symptoms to address the root causes of systemic crises.
What is the primary goal of the Ontorics framework?
The goal is to enable practitioners, policymakers, and researchers to anticipate systemic risks, foster emergent innovation, and catalyze holistic, ethically responsible transformation by identifying and realigning the ontological substrates that dictate system behavior.
Which methodology does Ontorics employ?
Ontorics utilizes "ontological diagnostics," operationalized through the Moleka Grid, which requires mapping systems across three layers: the symptomatic (observable phenomena), the paradigmatic (institutional logics), and the ontological (foundational assumptions about reality).
What does the book cover in its central chapters?
The central chapters formalize the epistemic architecture of Ontorics, compare its unique approach to traditional disciplines like systems science and complexity theory, and provide detailed case studies illustrating its application in urban governance, climate policy, and AI governance.
Which key terms best describe this work?
Key terms include ontological diagnostics, the Moleka Grid, relational intelligence, emergent transformation, systemic coherence, reflexive governance, and planetary stewardship.
How does the Moleka Grid differentiate between levels of systemic analysis?
The Grid identifies three levels: the Symptomatic Level (observable metrics and failures), the Paradigmatic Level (institutional logics and policy frameworks), and the Ontological Level (deep assumptions about existence and relationality), ensuring interventions address root causes rather than symptoms.
What role does reflexivity play in Ontorics?
Reflexivity is a standard of rigor in Ontorics; it requires analysts to make their own ontological positioning, biases, and cultural assumptions explicit, recognizing that they are participants within the systems they analyze.
Why is Ontorics considered a "civilizational science"?
It is classified as such because it reconfigures the temporal and normative horizons of scientific inquiry, treating crises not as isolated malfunctions but as ontological revelations that demand a fundamental shift in how civilizations define progress, agency, and relationality.
How does Ontorics approach the governance of Artificial Intelligence?
Ontorics interrogates the implicit assumptions about intelligence, agency, and fairness encoded in AI infrastructure, allowing practitioners to redesign governance frameworks that are ontologically aligned with human-centered values and relational realities.
- Quote paper
- Pitshou Moleka (Author), 2026, Ontorics: The Science of Ontological Diagnostics, Munich, GRIN Verlag, https://www.grin.com/document/1685024
