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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
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.
Received: 01.12.2022 Revised: 12.12.2022 Accepted: 14.12.2022
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
Linking options:
https://www.mathnet.ru/eng/izkab513 https://www.mathnet.ru/eng/izkab/y2022/i6/p48
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Abstract page: | 24 | Full-text PDF : | 11 | References: | 7 |
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