{"id":1810,"date":"2025-05-02T20:06:31","date_gmt":"2025-05-02T19:06:31","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=1810"},"modified":"2026-04-13T10:13:50","modified_gmt":"2026-04-13T09:13:50","slug":"27-1-14-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-1-14-en\/","title":{"rendered":"27.1.14 en"},"content":{"rendered":"\n

Basic principles of neurocognitive modeling of consciousness of an agent of universal artificial intelligence<\/strong><\/h1>\n\n\n\n

Z.V. Nagoev<\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/strong><\/p>\n\n\n\n

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Upload the full text<\/strong><\/p>\n\n\n\n

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Abstract. <\/em><\/strong>The aim of the work is to create theoretical foundations for simulation modeling of agents of universal artificial intelligence based on the metaphor of designing multi-agent neurocognitive architectures. The task of the study is to develop basic principles of simulation modeling of consciousness of intelligent agents under the control of neurocognitive architectures. A formal definition of an agent of universal artificial intelligence is given. A hypothesis is proposed about the structural and functional organization of consciousness of universal artificial intelligence based on the metaphor of designing a multi-component multi-agent neurocognitive architecture. Some principles of simulation modeling of the consciousness of agents of universal artificial intelligence are developed based on the context-deterministic development of the control neurocognitive architecture in a communicative social real environment.<\/p>\n\n\n\n

Keywords<\/strong>: <\/em>universal artificial intelligence, simulation modeling of consciousness, neurocognitive architectures, multi-agent systems<\/p>\n\n\n\n

For citation<\/strong>. Nagoev Z.V. Basic principles of neurocognitive modeling of consciousness of an agent of universal artificial intelligence. News of the Kabardino-Balkarian Scientific Center of RAS.<\/em> 2025. Vol. 27. No. 1. Pp. 152\u2013170. DOI: 10.35330\/1991-6639-2025-27-1-152-170<\/p>\n\n\n\n

References<\/strong><\/summary>\n
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  1. Russell S., Norvig P. Artificial Intelligence: A Modern Approach (AIMA). 2nd ed. Moscow: Williams, 2007. 1424 p.<\/li>\n\n\n\n
  2. Goertzel B.<\/em> Artificial General Intelligence: Concept, State of the Art, and Future Prospects. Journal of Artificial General Intelligence.<\/em> 5(1). 1\u201346. 2014. DOI: 10.2478\/jagi-2014-0001<\/li>\n\n\n\n
  3. Nagoev Z.V. Intellektika, ili Myshleniye v zhivykh i iskusstvennykh sistemakh<\/em> [Intellectics, or Thinking in Living and Artificial Systems]. Nalchik: Izdatel’stvo KBNTS RAN, 2013. 232 p. (In Russian)<\/li>\n\n\n\n
  4. Nagoev Z.V. Multi-agent existential mappings and functions. News of the Kabardino-Balkarian Scientific Center of RAS. <\/em>2013. No. 4(54). Pp. 63\u201371. EDN: QZTFLX. (In Russian)<\/li>\n\n\n\n
  5. Nagoev Z.V., Nagoeva O.V. Obosnovaniye simvolov i mul’tiagentnyye neyrokognitivnyye modeli semantiki yestestvennogo yazyka<\/em> [Justification of symbols and multi-agent neurocognitive models of natural language semantics]. Nalchik: Izdatel’stvo KBNTS RAN, 2022. 150 p. (In Russian)<\/li>\n\n\n\n
  6. Nagoev Z., Nagoeva O., Anchokov M. et al.<\/em> The symbol grounding problem in the system of general artificial intelligence based on multi-agent neurocognitive architecture. Cognitive Systems Research<\/em>. 2023. Vol. 79. Pp. 71\u201384. DOI: 10.1016\/j.cogsys.2023.01.002<\/a><\/li>\n\n\n\n
  7. Nagoev Z., Pshenokova I., Nagoeva O., Sundukov Z.<\/em> Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures. Cognitive Systems Research<\/em>. 2021. Vol. 66. Pp. 82\u201388. DOI: 10.1016\/j.cogsys.2020.10.015<\/a><\/li>\n\n\n\n
  8. Nagoev Z. V. Neurocognitive mappings and functions for neuromorphogenesis models in control systems of intelligent ontophylogenetic agents. News of the Kabardino-Balkarian Scientific Center of RAS. <\/em>2024. Vol. 26. No. 6. Pp. 188\u2013196. DOI: 10.35330\/1991-6639-2024-26-6-188-196. (In Russian)<\/li>\n\n\n\n
  9. Nagoev Z.V., Nagoeva O.V., Makoeva D.G., Gurtueva I.A. Multi-agent neurocognitive algorithm for controlling the reference of speech events of communication of an agent of general artificial intelligence in a situation of synchronous multiple dialogues. News of the Kabardino-Balkarian Scientific Center of RAS.<\/em> 2023. No. 6(116). Pp. 193\u2013209. DOI: 10.35330\/1991-6639-2023-6-116-193-209. (In Russian)<\/li>\n\n\n\n
  10. Nagoev Z.V. Ontoneuromorphogenetic modeling. News of the Kabardino-Balkarian Scientific Center of RAS. <\/em>2013. No. 4(54). Pp. 56\u201363. EDN: QZTFLN. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n
    Information about the author<\/strong><\/summary>\n

    Zalimkhan V. Nagoev<\/strong>, Candidate of Engineering Sciences, General Director of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences; Leading Researcher, Department of Multi-Agent Systems Institute of Computer Science and Problems of Regional Management \u2013 branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<\/p>\n\n\n\n

    360000, Russia, Nalchik, 37-a  I. Armand street;<\/p>\n\n\n\n

    zaliman@mail.ru, ORCID: https:\/\/orcid.org\/0000-0001-9549-1823, SPIN-code: 6279-5857<\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"

    Basic principles of neurocognitive modeling of consciousness of an agent of universal artificial intelligence Z.V. Nagoev Upload the full text Abstract. The aim of the work is to create theoretical foundations for simulation modeling of agents of universal artificial intelligence based on the metaphor of designing multi-agent neurocognitive architectures. 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