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This article is cited in 2 scientific papers (total in 2 papers)
TECHNICAL SCIENCE
Multi-agent search formal model for an
intelligent agent optimal behavior plan based
on distributed neurocognitive
architectures self-organization
Z. V. Nagoeva, I. A. Pshenokovab, S. A. Kankulovb, B. A. Atalikovb, A. A. Airana a Federal public budgetary scientific establishment «Federal scientific center «Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences», 360002, KBR, Nalchik, 2 Balkarova str.
b Institute of Computer Science and Problems of Regional Management –
Branch of Federal public budgetary scientific establishment «Federal scientific center
«Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences»,
360000, KBR, Nalchik, 37-a, I. Armand str.
Abstract:
The paper proposes an approach to the development of intelligent decision-making and control systems based on the hypothesis of the organization of neural activity of the brain in the process of performing cognitive functions. This approach, based on intelligent software agents with a developed cognitive
architecture, is able to provide the process of extracting knowledge from an unstructured data stream,
generalizing the acquired knowledge and learning, to implement effective methods of synthesizing behavior aimed at solving various problems.
A formal model of a multi-agent search for the optimal behavior plan of an intelligent agent based on
self-organization of distributed neurocognitive architectures is presented. In particular, the basic principles of situational analysis based on multi-agent neurocognitive architectures are formulated and an algorithm for constructing a cause-and-effect relationship between agents is developed.
The conducted simulation showed that on the basis of training neurocognitive architecture by forming
new agents-neurons and connections between them, a complex logical function of behavior control (in
particular, situational analysis) develops (is formed).
Keywords:
multi-agent systems, neurocognitive architecture, decision making, artificial intelligence
systems, intelligent agents.
Received: 20.04.2021
Citation:
Z. V. Nagoev, I. A. Pshenokova, S. A. Kankulov, B. A. Atalikov, A. A. Airan, “Multi-agent search formal model for an
intelligent agent optimal behavior plan based
on distributed neurocognitive
architectures self-organization”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 3, 21–31
Linking options:
https://www.mathnet.ru/eng/izkab353 https://www.mathnet.ru/eng/izkab/y2021/i3/p21
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