The observer information processes and origin of the observer cognition and intellect

Scientific Study , 2017 , 67 Pages , Grade: 10

Computer Science - Bioinformatics

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.

Inhaltsverzeichnis (Table of Contents)

• Introduction
• Information Observer's Origin
• Information Observer's Development
• The Role of Entropy in Information
• Information Bits and Their Interactions
• Formation of Information Networks
• The Observer's Cognition and Intelligence
• Applications and Implementations

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This work explores the emergence and development of an information observer within the context of interactive processes. It aims to provide a unified framework for understanding the origins and regularities of information dynamics across various interactive systems, ranging from physical interactions to human observations and beyond.

• The information observer's emergence from probabilistic observations and the conversion of uncertainty to certainty.
• The role of entropy in information creation and its connection to the emergence of information bits.
• The self-organization and hierarchical structure of information networks (IN) through the interaction and memorization of information bits.
• The development of observer cognition and intelligence through the interaction of multiple INs and the hierarchical encoding of information.
• The application of this framework to understand and design intelligent systems.

Zusammenfassung der Kapitel (Chapter Summaries)

• Introduction: This chapter introduces the scientific task of revealing the information nature of various interactive processes, including physical interactions, human observations, and communication systems. It discusses the limitations of existing approaches in fully capturing the information origins and regularities of these processes.
• Information Observer's Origin: This chapter outlines the approach focusing on observations as interactions that produce the observer itself. It introduces the concept of the information observer emerging from the conversion of uncertainty to certainty during the observation of random interactive processes.
• Information Observer's Development: This chapter delves into the process of how multiple observations generate information bits, which then self-organize into triplets, forming the basis of information networks. The chapter explores the logical self-organization and hierarchical structure of these networks, highlighting the role of code in encoding information about the network.
• The Role of Entropy in Information: This chapter emphasizes the connection between entropy, uncertainty, and information. It discusses how removing entropy (uncertainty) from observations leads to the emergence of information bits, which are viewed as physical entities containing physical energy equal to the energy spent erasing entropy.
• Information Bits and Their Interactions: This chapter delves into the details of how information bits interact, focusing on the merging of "Yes-No" actions to generate microprocesses within bordered impulses. The chapter explores the concept of free information, the attraction of interacting bits, and the formation of macroprocesses through the memorization of information bits.
• Formation of Information Networks: This chapter elaborates on the self-organization of information networks (IN) through the formation and interaction of triplets, which represent basic elementary structures of macrounits. It describes the process of how these triplets self-join and create hierarchical structures, ultimately forming a network that encloses all the information from prior observations.

Schlüsselwörter (Keywords)

The primary concepts and terms explored in this work include: impulse probabilistic observation, cutting correlation, minimax information law, wave function, micro-macro processes, integral information measure, causal logic, cooperative information dynamics, hierarchical network, objective and subjective observers, self-forming cognition and intellect, designing AI observer, applications, and implementations.

• Grade: 10
• Author: Vladimir S. Lerner (Author)
• Publication Year: 2017
• Pages: 67
• Catalog Number: V379103
• ISBN (eBook): 9783668580329
• ISBN (Book): 9783668580336
• Language: English
• Tags: impulse probabilistic observation, cutting correlation, minimax information law, wave function, micro-macro process, integral information measure, causal logic, cooperative information dynamics, hierarchical network, objective and subjective observers, self-forming intellect, designing AI observer, applications, implementations