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News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023 Issue 6, Pages 226–234 (Mi izkab736)

System analysis, management and information processing

Simulation model of a neurocognitive control system for an autonomous software agent performing cooperative behavior to automatically replenish ontologies

Z. V. Nagoeva, I. A. Pshenokovab, O. V. Nagoevab, M. I. Anchekova, A. Z. Enesb

a Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 360010, Russia, Nalchik, 2 Balkarov street
b Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 360000, Russia, Nal'chik, 37-a I. Armand street

Abstract: . 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, intelligent agent, multi-agent system, cognitive architectures

UDC: 004.8

MSC: 68T42

Received: 23.11.2023
Revised: 05.12.2023
Accepted: 09.12.2023

DOI: 10.35330/1991-6639-2023-6-116-226-234



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