Abstract:
The relevance of the research is determined by the need to develop and programmatically
implement artificial general intelligence agents capable of self-learning based on adaptation to the
conditions of solving problems of the universal spectrum based on the ontoepiphilosociogenetic learning
process. The research is aimed at developing a formalization of a general artificial intelligence agent
suitable for creating its simulation model. A formalization of an intelligent agent is constructed based on
two-level multi-agent neurocognitive architectures using an automatic description and multi-agent
functions. A formal description of the genomes of neuron agents as part of a multi-agent neurocognitive
architecture and the genotype of an intelligent agent has been developed. The resulting formalization can
be used to create software for general artificial intelligence systems.
Citation:
M. I. Anchekov, A. Z. Apshev, K. Ch. Bzhikhatlov, S. A. Kankulov, Z. V. Nagoev, O. V. Nagoeva, I. A. Pshenokova, A. A. Khamov, A. Z. Enes, “Formal genome model of a general artificial intelligence agent based
on multi-agent neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 5, 11–24
\Bibitem{AncApsBzh23}
\by M.~I.~Anchekov, A.~Z.~Apshev, K.~Ch.~Bzhikhatlov, S.~A.~Kankulov, Z.~V.~Nagoev, O.~V.~Nagoeva, I.~A.~Pshenokova, A.~A.~Khamov, A.~Z.~Enes
\paper Formal genome model of a general artificial intelligence agent based
on multi-agent neurocognitive architectures
\jour News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
\yr 2023
\issue 5
\pages 11--24
\mathnet{http://mi.mathnet.ru/izkab710}
\crossref{https://doi.org/10.35330/1991-6639-2023-5-115-11-24}
\elib{https://elibrary.ru/item.asp?id=https://www.elibrary.ru/item.asp?id=54751390}
\edn{https://elibrary.ru/ESIBPU}
Linking options:
https://www.mathnet.ru/eng/izkab710
https://www.mathnet.ru/eng/izkab/y2023/i5/p11
This publication is cited in the following 2 articles:
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