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News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, Issue 6, Pages 48–60
DOI: https://doi.org/10.35330/1991-6639-2022-6-110-48-60
(Mi izkab513)
 

Information Technologies and Telecommunications

A multi-agent algorithm for substantiating the symbols of a conventional language based on situational development of neurocognitive architecture

M. I. Anchekova, K. Ch. Bzhikhatlova, S. A. Kankulovb, Z. V. Nagoeva, O. V. Nagoevab, I. A. Pshenokovaa

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, Nalchik, 37-a I. Armand street
References:
Abstract: The purpose of this study is to develop methods and algorithms for justifying natural language symbols in the course of its development by an intelligent agent when interacting with other agents. A multi-agent neurocognitive architecture of an intelligent agent immersed in a communicative environment has been developed, which forms functional systems based on the coordinated interaction of agents-neurons in its composition. A multi-agent algorithm for substantiating symbols of a simplified conventional language, consisting of single-character words, has been developed, using such functional systems to formalize semantics, taking into account the context of communication.
Keywords: intelligent agent, symbol substantiation, multi-agent systems, cognitive architectures, neuron-like elements.
Funding agency Grant number
Russian Science Foundation 22-19-00787
The work was supported by the Russian Science Foundation, grant no. 22-19-00787
Received: 01.12.2022
Revised: 12.12.2022
Accepted: 14.12.2022
Bibliographic databases:
Document Type: Article
UDC: 004.89
MSC: 68T42
Language: Russian
Citation: M. I. Anchekov, K. Ch. Bzhikhatlov, S. A. Kankulov, Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, “A multi-agent algorithm for substantiating the symbols of a conventional language based on situational development of neurocognitive architecture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2022, no. 6, 48–60
Citation in format AMSBIB
\Bibitem{AncBzhKan22}
\by M.~I.~Anchekov, K.~Ch.~Bzhikhatlov, S.~A.~Kankulov, Z.~V.~Nagoev, O.~V.~Nagoeva, I.~A.~Pshenokova
\paper A multi-agent algorithm for substantiating
the symbols of a conventional language based on situational development
of neurocognitive architecture
\jour News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
\yr 2022
\issue 6
\pages 48--60
\mathnet{http://mi.mathnet.ru/izkab513}
\crossref{https://doi.org/10.35330/1991-6639-2022-6-110-48-60}
\elib{https://elibrary.ru/item.asp?id=https://www.elibrary.ru/item.asp?id=50127954}
\edn{https://elibrary.ru/SBIEVA}
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