In observing interactive processes, conversion of observed uncertainty to observer certainty is natural phenomenon creating Yes-No actions of information Bit and its information observer.
Observer emerges from interacting random field of Kolmogorov probabilities which link Kolmogorov 0-1 law probabilities and Bayesian probabilities observing Markov diffusion process by probabilistic 0-1 impulses. Each No-0 action cuts maximum of impulse minimal entropy while following Yes-1 action transfers maxim between impulses performing dual principle of converting process entropy to information.
Merging Yes-No actions generate microprocess within bordered impulse producing Bit with free information when the microprocess probability approaches 1. Interacting bits memorizes each impulse free information which attracts multiple Bits moving macroprocess that self-joins triplet macrounits. Each memorized information binds reversible microprocess within impulse with irreversible macroprocess.The observation automatically converts cutting entropy to information macrounits. Macrounits logically self-organize information networks IN encoding the units in geometrical structures enclosing triplet code. Multiple IN binds their ending triplets which encloses observer information cognition and intelligence. The observer cognition assembles common units through multiple attraction and resonances at forming IN triplet hierarchy which accept only units that recognizes each IN node. Maximal number of accepted triplet levels in multiple IN measures the observer maximum comparative information intelligence. The observation process carries probabilistic and certain wave function which self-organizes the space hierarchical structures.
The intelligent observer recognizes and encodes digital images in message transmission, being self-reflective enables understanding the message meaning.
The cognitive logic self-controls encoding the intelligence coding structure.
These functional regularities create united information mechanism whose integral logic self-operates, transforming interacting uncertainties to physical reality-matter, human information and designing AI.
Table of Contents
1. Introduction
2. Observation. Virtual observer. Uncertainty, Information, Certainty
3. The emergence of space-time geometry in the impulse observing process.
4. The impulse transformation of the observing process entropy to information.
4a. The information process’ basic structure unit-triplet.
4b. Assembling the information network (IN).
5. Forming structure of information Observer and its regularities
6. The emerging information Intelligence.
7. The Observer individuality determines:
8. Information structure of artificial designed observer: the basic stages toward artificial brain
9. How the interacting intelligence observers can understand meaning in each communication.
10. How the intelligence code self-controls the observer physical irreversible processes.
11. The observer regularities
Target Objectives & Themes
The work aims to unify the study of information origins and regularities across diverse interactive systems by introducing a formal mathematical approach based on the observation of random processes. The primary research question addresses how an "information observer" emerges from a random interactive process, converts uncertainty to certainty, and self-organizes into hierarchical information structures that constitute cognition and intelligence.
- The informational origin of the observer through probabilistic interactions.
- Conversion of entropy into information via the minimax information law.
- Self-organization of information networks (IN) through triplet structures.
- Formalism of observer cognition and intelligence based on information macrodynamics.
- Applications to artificial intelligence and understanding cognitive brain mechanisms.
Excerpt from the Book
3. The emergence of space-time geometry in the impulse observing process.
At growing Bayes a posteriori probability along observations, neighbor impulses ↑ and ↑ may merge, generating interactive jump ↓ on the impulses border.
The merge converges action with reaction, superimposing cause and effect and their probabilities. The merge squeezes to a micro-minimum the inter-action time interval, which initiates a microprocess on the bordered impulses.
The jump increases the Markov process drift (speed) up to infinity which generates a high entropy density curving the correlation between these actions up to its dissolving-cut which virtually cuts the time measure of this correlation in an emerging ½ units of the bordered impulse. The dissolve correlation measures the orthogonal correlations.
This jump, curving the time up to the related orthogonal correlation, rotates the impulse reaction ↑ of ½ unit measure to its orthogonal displacement (Fig.1).
Summary of Chapters
1. Introduction: Discusses the nature of information in interactive systems and the limitations of existing physical and quantum approaches to defining an observer.
2. Observation. Virtual observer. Uncertainty, Information, Certainty: Explains how uncertainty in random processes is reduced to certainty through virtual observations, creating bits of information.
3. The emergence of space-time geometry in the impulse observing process.: Details how interactive jumps generate microprocesses and lead to the formation of space-time coordinate systems and geometry.
4. The impulse transformation of the observing process entropy to information.: Describes the mechanism by which entropy is transformed into logical information through interactive impulse transformations.
4a. The information process’ basic structure unit-triplet.: Outlines the assembly of bits into basic triplet units that form the foundation of information networks.
4b. Assembling the information network (IN).: Explains the hierarchical construction of information networks from triplet units and their role in structuring information.
5. Forming structure of information Observer and its regularities: Analyzes how the macro-movement within the observer leads to self-scaling and self-organization of information structures.
6. The emerging information Intelligence.: Defines observer intelligence as the ability to construct informational networks and domains, modeled by the observer's self-organized hierarchy.
7. The Observer individuality determines:: Examines the factors that define an observer's unique characteristics, including probability fields and selective action capabilities.
8. Information structure of artificial designed observer: the basic stages toward artificial brain: Discusses the transition from theoretical models to the development of artificial brains using the identified information mechanisms.
9. How the interacting intelligence observers can understand meaning in each communication.: Explores how intelligent observers recognize meaning through information coherence and shared coding languages.
10. How the intelligence code self-controls the observer physical irreversible processes.: Describes how the intelligence code manages energy and physical actions through feedback loops.
11. The observer regularities: Summarizes the fundamental principles and regularities governing observer evolution and self-creation.
Keywords
impulse probabilistic observation, cutting correlation, minimax information law, wave function, micro-macro processes, integral information measure, causal logic, cooperative information dynamics, hierarchical network, observer intelligence, self-forming cognition, artificial AI observer, information dynamics, entropy reduction, information network
Frequently Asked Questions
What is the core subject of this publication?
The work explores the formal information-theoretical nature of observers. It posits that an "observer" emerges naturally from random interactive processes by converting uncertainty into certainty.
What are the primary thematic fields covered?
The text spans information theory, systems analysis, quantum-inspired probability modeling, and neurodynamics, unifying these into a single theory of information macrodynamics.
What is the central research objective?
The goal is to provide a unified, formal, and mathematical explanation for how an information observer self-emerges, encodes information, and develops intelligence without requiring pre-existing physical laws.
Which scientific methodology is employed?
The author uses a variation principle, Kolmogorov-Bayesian probability modeling, and Markov diffusion processes to mathematically describe the trajectory of information from uncertainty to physical reality.
What topics are discussed in the main section?
The main section covers the emergence of space-time geometry, the formation of triplet-based information networks, the self-organization of cognitive structures, and the communication and understanding of meaning between intelligent observers.
Which keywords define this work?
Key terms include minimax information law, information macrodynamics, self-forming cognition, triplet-based hierarchical networks, and observer intelligence.
How does the information observer handle the conversion of uncertainty?
The observer uses probing impulses to cut or remove entropy from random correlations, transforming that entropy into usable information bits through a physical encoding process.
What role does the "triplet" play in this theory?
Triplets are the fundamental building blocks of information networks. They form through the resonance of bits and create hierarchical structures that serve as the foundation for complex cognition and intelligent behavior.
- Quote paper
- Vladimir S. Lerner (Author), 2017, The observer information processes and origin of the observer cognition and intellect, Munich, GRIN Verlag, https://www.grin.com/document/379103
