Geodesic
Simulation model of a neurocognitive control system
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2023), pp. 226-234

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. A circuit of the control system of an intelligent agent has been developed, which ensures the formation of semantic ontologies of the “agent – environment” system, combining on the basis of interneuron associations functional representations of the current observed states of the agent and statements of counterparties in the communicative environment. Based on the ontoneuromorphogenesis algorithm, axo-dendronal connections grow, which is aimed at reflecting the cause-and-effect relationships between events that describe the context of the situation, events that describe the subject of the statement, and the event that describes the statement itself. According to the results of experiments of the simulation model it was concluded that the multi-agent algorithm for the autonomous synthesis of functional systems of semantic ontologies based on the growth and development of neurocognitive architectures can be applied to any subject area.
Keywords: control systems, multi-agent system, cognitive architectures
Mots-clés : intelligent agent 
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     title = {Simulation model of a neurocognitive control system},
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Z. V. Nagoev; I. A. Pshenokova; O. V. Nagoeva; M. I. Anchekov; A. Z. Enes. Simulation model of a neurocognitive control system. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2023), pp. 226-234. http://geodesic.mathdoc.fr/item/IZKAB_2023_6_a21/