{"id":10303,"date":"2026-04-06T16:51:51","date_gmt":"2026-04-06T15:51:51","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=10303"},"modified":"2026-04-10T08:04:32","modified_gmt":"2026-04-10T07:04:32","slug":"25-6-14-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-6-14-en\/","title":{"rendered":"25.6.14 En"},"content":{"rendered":"\n

Cooperative interaction of participants in a heterogeneous team of autonomous agents using neurocognitive models of coordinated behavior<\/strong><\/h1>\n\n\n\n

K.Ch. Bzhikhatlov, I.A. Pshenokova, O.V. Nagoeva<\/strong><\/p>\n\n\n\n


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Abstract<\/strong>:<\/strong> <\/em>The concept and algorithm of operation of a system of cooperative interaction of a heterogeneous team of autonomous agents based on a multi-agent neurocognitive architecture are presented in the article. The article also describes the process of forming a general graph of a problem situation in the process of planning the implementation of a collective mission received by a humanmachine team. Such a system is necessary to implement coordinated, goal-oriented behavior of heterogeneous human-machine teams. The relevance of the study is determined by the need to develop an algorithm for cooperative interaction between participants in a heterogeneous team of autonomous agents for the development of the theory and practice of creating intelligent decision-making and control systems based on multi-agent neurocognitive architectures.<\/p>\n\n\n\n

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Keywords<\/strong>:<\/em><\/strong> multi-agent neurocognitive architectures, multi-agent systems, autonomous agent, collaborative robotics<\/p>\n\n\n\n

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For citation<\/strong>.<\/strong> Bzhikhatlov K.Ch., Pshenokova I.A., Nagoeva O.V. Cooperative interaction of participants in a heterogeneous team of autonomous agents using neurocognitive models of coordinated behavior. News of the KabardinoBalkarian Scientific Center of RAS<\/em>. 2023. No. 6(116). Pp. 132\u2013141. DOI: 10.35330\/1991-6639-2023-6-116-132-141<\/p>\n\n\n\n

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  2. Bzhikhatlov K.Ch., Kankulov S.A., Malyshev D.A. et al. Interaktivnoye formirovaniye prostranstvennykh ontologiy avtonomnogo robota na osnove neyrokognitivnykh modeley semantiki<\/em> [Interactive formation of spatial ontologies of an autonomous robot based on neurocognitive models of semantics]. Materialy XVI Vserossijskoj nauchno-prakticheskoj konferencii i XII molodezhnoj shkoly-seminara \u00abPerspektivnye sistemy i zadachi upravleniya\u00bb <\/em>[Materials of the XVI All-Russian Scientific and Practical Conference and the XII Youth School-Seminar \u201cAdvanced Systems and Management Problems\u201d]. Rostov-na-Donu, 2021. Pp. 147\u2013154. (In Russian)<\/li>\n\n\n\n
  3. Nagoev Z. V., Pshenokova I. A., Nagoeva O. V. Automatic reconstruction of the nature of users\u2019 temperament based on multi-agent training of neurocognitive models of the conscious and subconscious according to data on user behavior on the Internet. News of the KabardinoBalkarian Scientific Center of RAS<\/em>. 2023. 2021. No. 6(104). Pp. 66\u201377. (In Russian)<\/li>\n\n\n\n
  4. Nagoev Z.V., Sundukov Z.A., Pshenokova I.A., Denisenko V.A. CAD architecture of distributed artificial intelligence based on self-organizing neurocognitive architectures. News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2020. No. 2(94). Pp. 40\u201347. (In Russian)<\/li>\n\n\n\n
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  8. Awni Hannun. The Role of Evolution in Machine Intelligence. 2021.<\/li>\n\n\n\n
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  10. 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, 150 p. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n
    Information about the authors<\/strong><\/summary>\n
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    Bzhikhatlov Kantemir Chamalovich<\/strong>, Candidate of Physical and Mathematical Sciences, Head of the Laboratory \u201cNeurocognitive Autonomous Intelligent Systems\u201d, 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
    Pshenokova Inna Auesovna<\/strong>, Candidate of Physical and Mathematical Sciences, Head of the Laboratory \u201cIntelligent Living Environments\u201d, Institute of Computer Science and Problems of Regional Management \u2013 branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    360000, Russia, Nalchik, 37-a I. Armand street;
    pshenokova_inna@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3394-7682
    Nagoeva Olga Vladimirovna<\/strong>, Researcher of the Department \u201cMultiagent Systems\u201d, Institute of Computer Science and Problems of Regional Management \u2013 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<\/p>\n\n\n\n

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    Cooperative interaction of participants in a heterogeneous team of autonomous agents using neurocognitive models of coordinated behavior K.Ch. Bzhikhatlov, I.A. Pshenokova, O.V. Nagoeva Upload the full text Abstract: The concept and algorithm of operation of a system of cooperative interaction of a heterogeneous team of autonomous agents based on a multi-agent neurocognitive architecture are presented […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-10303","page","type-page","status-publish","hentry"],"yoast_head":"\n25.6.14 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-6-14-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"25.6.14 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Cooperative interaction of participants in a heterogeneous team of autonomous agents using neurocognitive models of coordinated behavior K.Ch. 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