DEFINITION OF NATURAL AND ARTIFICIAL INTELLIGENCE WITHIN THE FRAMEWORK OF THE COMPLEX SYSTEMS SELF-ORGANIZATION THEORY

Abstract

The problem of defining natural and artificial intelligence is considered, which has both theoretical and practical significance, affecting the understanding of consciousness and intelligence, means of their modeling and research, as well as the possibility of their practical use to determine the prospects for building artificial intelligence according to the principles of natural intelligence organizing.

The purpose of the publication is to formulate and substantiate the definitions of natural and artificial intelligence taking into account environmental factors, self-organization, evolution and the carrier, compare the definitions and clarify their fundamental differences.

The methodology of the work is based on the principles of a systems approach and the application of the self-organization of complex systems theory for the formulation and justification of definitions, as well as the analysis of their differences.

The results of the work are the methodology for studying natural intelligence, namely, structure, interaction with the environment, evolution, clarification of dependence on the carrier based on the theory of self-organization of complex systems; formal definitions of natural and artificial intelligence; comparison of their properties and nature; assessment of development prospects.

The scientific novelty lies in the fact that the definitions of natural and artificial intelligence are for the first time linked to the research paradigm based on the systems self-organization theory and are thus comparable and comparable. The comparison identified a fundamental difference: natural intelligence is an emergent open system and covers 1-6 levels of self-organization within the framework of the scenario (1S, 1O), while artificial intelligence is an additive open system that covers 3 and 4 levels of self-organization within the framework of the scenario (1S, 1O). Both do not depend on the medium and are capable of evolution. The development of artificial intelligence according to the principles of building natural intelligence requires a paradigm shift and a transition from an additive system to an emergent one.

Keywords: natural intelligence, artificial intelligence, complex system, emergentness, additivity, self-organization theory.

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Published
2026-05-30
How to Cite
Kovalyov , Y., Vasilenko , V., & Kalashnikova , V. (2026). DEFINITION OF NATURAL AND ARTIFICIAL INTELLIGENCE WITHIN THE FRAMEWORK OF THE COMPLEX SYSTEMS SELF-ORGANIZATION THEORY. Modern Problems of Modeling, (29), 138-149. https://doi.org/10.33842/2313-125X-2026-29-138-149