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News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, Issue 6, Pages 210–225
DOI: https://doi.org/10.35330/1991-6639-2023-6-116-210-225
(Mi izkab735)
 

This article is cited in 1 scientific paper (total in 1 paper)

System analysis, management and information processing

Classification and conditions of application of algorithms for automatic ontologization of the state space of a general artificial intelligence agent under the control of neurocognitive architecture

Z. V. Nagoeva, I. A. Pshenokovab, M. I. Anchekova, K. Ch. Bzhikhatlova, B. A. Atalikovb, S. A. Kankulovb, A. Z. Enesb

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, Nal'chik, 37-a I. Armand street
References:
Abstract: The purpose of the study is to form an algorithmic base for ontologizing the state space of a general artificial intelligence agent. The main objectives of the work are the classification of algorithms for the autonomous synthesis of ontologies of the “agent-environment” system and the selection of conditions for their application. The form and contents of the main ontologization algorithms for the state space of an intelligent agent of artificial general intelligence are determined and their classification is constructed. The mechanisms for the formation of concepts of functional representation of entities in the state space of an intelligent agent based on dynamic generation “on demand” are substantiated. A meta-algorithm for selecting private ontologization algorithms has been constructed depending on the selected application conditions.
Keywords: automatic construction of ontologies, artificial general intelligence, multi-agent systems,neurocognitive architectures
Funding agency Grant number
Russian Science Foundation 22-19-00787
The work was carried out with the financial support of the Russian Science Foundation (grant No. 22-19-00787)
Received: 02.12.2023
Revised: 08.12.2023
Accepted: 10.12.2023
Bibliographic databases:
Document Type: Article
UDC: 004.89
MSC: Primary 68T42; Secondary 68T05
Language: Russian
Citation: Z. V. Nagoev, I. A. Pshenokova, M. I. Anchekov, K. Ch. Bzhikhatlov, B. A. Atalikov, S. A. Kankulov, A. Z. Enes, “Classification and conditions of application of algorithms for automatic ontologization of the state space of a general artificial intelligence agent under the control of neurocognitive architecture”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2023, no. 6, 210–225
Citation in format AMSBIB
\Bibitem{NagPshAnc23}
\by Z.~V.~Nagoev, I.~A.~Pshenokova, M.~I.~Anchekov, K.~Ch.~Bzhikhatlov, B.~A.~Atalikov, S.~A.~Kankulov, A.~Z.~Enes
\paper Classification and conditions of application of algorithms
for automatic ontologization of the state space of a general artificial
intelligence agent under the control of neurocognitive architecture
\jour News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
\yr 2023
\issue 6
\pages 210--225
\mathnet{http://mi.mathnet.ru/izkab735}
\crossref{https://doi.org/10.35330/1991-6639-2023-6-116-210-225}
\elib{https://elibrary.ru/item.asp?id=https://www.elibrary.ru/item.asp?id=58804980}
\edn{https://elibrary.ru/RSWAMD}
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  • https://www.mathnet.ru/eng/izkab/y2023/i6/p210
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    News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences
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