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“NEWS OF THE KABARDINO-BALKARIAN

SCIENTIFIC CENTER OF RAS”

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The journal was founded in 1998, 6 issues per year
ISSN 1991-6639 (print),

ISSN 2949-1940 (online)

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Formal genome model of a general artificial intelligence agent based on multi-agent neurocognitive architectures

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

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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.

Keywords:general artificial intelligence, multi-agent systems, neurocognitive architectures, abstract deterministic automata, multi-generational optimization, genetic algorithms, multi-agent functions

For citation. Anchekov M.I., Apshev A.Z., Bzhikhatlov K.Ch. et al. Formal genome model of a general artificial intelligence agent based on multi-agent neurocognitive architectures. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 5(115). Pp. 11–24. DOI: 10.35330/1991-6639-2023-5-115-11-24

References
  1. Anchekov M.I., Bzhikhatlov K.Ch., Nagoev Z.V. et al. Onto-episociophilogenetic development of general artificial intelligence systems based on multi-agent neurocognitive architectures. News of Kabardino-Balkarian Scientific Center of RAS. 2022. No. 6(110). Pp. 61–75. DOI: 10.35330/1991-6639-2022-6-110-61-75. (In Russian)
  2. Apshev A.Z., Atalikov B.A., Kankulov S.A. et al. Ontophylogenetic algorithms for the synthesis of phenotypes of intelligent software agents for use in multigenerational optimization problems control neuro-cognitive architectures. News of Kabardino-Balkarian Scientific Center of RAS. 2022. No. 6(110). Pp. 76–91. DOI: 10.35330/1991-6639-2022-6-110-76-91. (In Russian)
  3. Nagoev Z., Nagoeva O., Anchekov M. et al. The symbol grounding problem in the system of general artificial intelligence based on multi-agent neurocognitive architecture. Cognitive Systems Research. 2023. No. 79. Pp. 71–84.
  4. Nagoev Z.V. Intellektika, ili myshleniye v zhivykh i iskusstvennykh sistemakh [Intelligence, or thinking in living and artificial systems]. Nalchik: Izdatel’stvo KBNTS RAN, 232 p. (In Russian)
  5. Nagoev Z.V. Ontoneuromorphogenetic modeling. News of Kabardino-Balkarian Scientific Center of RAS. 2013. No. 4(54). Pp. 46–56. (In Russian)
  6. Holland J.H. Adaptation in natural and artificial systems. University of Michigan Press. Ann Arbor, 1975.
  7. Nagoev Z.V., Nagoeva O.V. Obosnovaniye simvolov i mul’tiagentnyye neyrokognitivnyye modeli semantiki yestestvennogo yazyka [Justification of symbols and multi-agent neurocognitive models of natural language semantics]. Nalchik: Izdatel’stvo KBNTS RAN, 150 p. (In Russian)
  8. Stuart Russell, Peter Norvig. Artificial Intelligence: A Modern Approach (AIMA). 2nd ed. Moscow: Williams, 2007. 1424 p.
  9. Nagoev Z. V. Multi-agent existential mappings and functions. News of Kabardino-Balkarian Scientific Center of RAS. 2013. No. 4(54). Pp. 63–71. (In Russian)
  10. Anchekov M.I., Bzhikhatlov K.Ch., Leshkenov A.M. High-performance systems for phenotyping agricultural crops. News of Kabardino-Balkarian Scientific Center of RAS. 2022. No. 5(109). Pp. 19–24. DOI: 10.35330/1991-6639-2022-5-109-19-24. (In Russian)
  11. Anchekov M.I., Bogotova Z.I., Pshenokova I.A. et al. Collaborative breeding system based on a consortium of heterogeneous intelligent agents. News of Kabardino-Balkarian Scientific Center of RAS. 2022. No. 5(109). Pp. 25–37. DOI: 10.35330/1991-6639-2022-5-109-25-37. (In Russian)
Information about the authors

Anchekov Murat Inusovich, Researcher of the Laboratory “Molecular selection and biotechnology”, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 224 Kirov street;
murat.antchok@gmail.com, ORCID: https://orcid.org/0000-0002-8977-797X
Apshev Artur Zaurovich, Trainee researcher of the Laboratory “Neurocognitive Autonomous Intelligent Systems“ of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360002, Russia, Nalchik, 2 Balkarov street;
apshev@mail.ru, ORCID: https://orcid.org/0000-0002-7628-0825
Bzhikhatlov Kantemir Chamalovich, Candidate of Physical-Mathematical Sciences, Head of the Laboratory “Neurocognitive Autonomous Intelligent Systems” of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360002, Russia, Nalchik, 2 Balkarov street;
haosit13@mail.ru, ORCID: https://orcid.org/0000-0003-0924-0193
Kankulov Sultan Akhmedovich, Trainee researcher of the Laboratory “Intellectual Habitats” of the 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;
skankulov@mail.ru, ORCID: https://orcid.org/0000-0002-2996-7376
Nagoev Zalimkhan Vyacheslavovich, Candidate of Technical Sciences, General Director of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street;
zaliman@mail.ru, ORCID: https://orcid.org/0000-0001-9549-1823
Nagoeva Olga Vladimirovna, Researcher of the Department “Multiagent Systems” of the 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;
nagoeva_o@mail.ru, ORCID: https://orcid.org/0000-0003-2341-7960
Pshenokova Inna Auesovna, Candidate of Physical and Mathematical Sciences, Leading Researcher of the Laboratory “Neurocognitive autonomous intelligent systems” of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360002, Russia, Nalchik, 2 Balkarov street;
pshenokova_inna@mail.ru, ORCID: https://orcid.org/0000-0003-3394-7682
Khamov Anzor Azamatgerievich, Junior researcher of the Laboratory “Molecular selection and biotechnology” of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 224 Kirov street;
opitnoe2014@mail.ru, ORCID: https://orcid.org/0000-0003-3269-4572
Enes Akhmed Zyulfikar, Trainee researcher of the Laboratory “Intellectual Habitats” of the Institute of Computer Science and Problems of Regional Management – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
360000, Russia, Nalchik, 37-a I. Armand street
ahmedenes@mail.ru

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