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System Analysis of the Intelligence Structures Evolution

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System Analysis in Engineering and Control (SAEC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 442))

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Abstract

The article is devoted to the system methodology and philosophical analytics integration in explaining the regularity of the evolution of the intellectual structure. The article's purpose is to analyze the factors of the genesis of intelligence structures as functional systems due to the dynamics of social self-organization. The conceptual basis for the analysis of the intelligence structure's evolution is the macro-determination principle of the complex organized system with internal dynamics. The boundaries of the whole system's existence are a necessary condition in the organization of adaptive behavior of its elements and their interrelation. It is emphasized that in the human psyche evolution, it is the social way of life and its complication that stimulate the development of intelligence structures, the functions of which ensure the social coherence in the natural forms of speech-thinking activity. In this vein, the systemic factors of the intelligence structures evolution in genetic models created based on psychology, sociobiology, and social anthropology are considered. It is shown that the structures of AI are functionally inscribed in a multi-level system of social memory and a communicative network. It is concluded that the socio-genetic installation in the system analysis for the artificial and natural intelligence ratio allows us to present in a new way the regularity of cognitive evolution in human history and the prospects for the smart technologies development of digital society.

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Correspondence to Olga Shipunova .

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Shipunova, O. (2022). System Analysis of the Intelligence Structures Evolution. In: Vasiliev, Y.S., Pankratova, N.D., Volkova, V.N., Shipunova, O.D., Lyabakh, N.N. (eds) System Analysis in Engineering and Control. SAEC 2021. Lecture Notes in Networks and Systems, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-030-98832-6_9

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