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News of the Kabardin-Balkar scientific center of RAS, 2015, Issue 6-2, Pages 158–165
(Mi izkab336)
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This article is cited in 1 scientific paper (total in 1 paper)
COMPUTER SCIENCE. CALCULATION EQUIPMENT. MANAGEMENT
Knowledge representation in artificial intelligence
systems based on the principles
of ontoneuromorphogenesis
and multi-agent modeling
I. A. Pshenokova, V. A. Denisenko, O. V. Nagoeva, D. G. Tokmakova, Z. A. Sundukov Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of Sciences,
360000, KBR, Nalchik, 37-a, I. Armand street
Abstract:
The article provides the knowledge representation format in intelligent systems of decision-making
based on the modeling of self-organization processes of so-called multi-agent recursive cognitive architectures (MuRCA). Elements of self-organizing MuRCA that manifest independent behavior of a goaldirected agent, that provide a possibility to make contracts for energy and information exchange, software
infrastructure of agents creation and editing have been developed.
Received: 09.09.2015
Citation:
I. A. Pshenokova, V. A. Denisenko, O. V. Nagoeva, D. G. Tokmakova, Z. A. Sundukov, “Knowledge representation in artificial intelligence
systems based on the principles
of ontoneuromorphogenesis
and multi-agent modeling”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 6-2, 158–165
Linking options:
https://www.mathnet.ru/eng/izkab336 https://www.mathnet.ru/eng/izkab/y2015/i62/p158
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Abstract page: | 45 | Full-text PDF : | 91 | References: | 13 |
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