{"id":2183,"date":"2025-05-13T11:43:16","date_gmt":"2025-05-13T10:43:16","guid":{"rendered":"http:\/\/newskbncran.ru\/?page_id=2183"},"modified":"2026-03-30T15:15:28","modified_gmt":"2026-03-30T14:15:28","slug":"26-5-9-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/26-5-9-en\/","title":{"rendered":"26.5.9 en"},"content":{"rendered":"\n

Analysis of computational complexity of federated algorithms for neurocognitive control of imitation phenogenetic models of plants<\/strong><\/h4>\n\n\n\n

M.A. Abazokov, M.I. Anchekov, K.Ch. Bzhikhatlov, Zh.Kh. Kurashev, <\/strong><\/p>\n\n\n\n

Z.V. Nagoev, O.V. Nagoeva, A.A. Unagasov, A.A. Khamov<\/strong><\/p>\n\n\n\n

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Abstract<\/em><\/strong>. The aim of the study is to develop a methodology for creating hybrids of economically useful plants with a given set of phenotypic properties based on the use of universal artificial intelligence methods for managing federated simulation models of vegetation. The main objective of this work is to analyze the computational complexity of the main algorithms for the functioning and training of neurocognitive systems for managing federated simulation models of plant vegetation using computers of various types. The paper presents the results of estimating the execution time of the dispatching cycle in a federated system for imitation modeling of plant phenogenetic dynamics on a sequential and parallel computer.<\/p>\n\n\n\n

Keywords<\/em><\/strong>:<\/strong> universal artificial intelligence, multi-agent systems, neurocognitive control, plant breeding, gene expression, computational complexity analysis, federated algorithms<\/p>\n\n\n\n

For citation<\/strong>. Abazokov M.A., Anchekov M.I., Bzhikhatlov K.Ch., Kurashev Zh.Kh., Nagoev Z.V., Nagoeva O.V., Unagasov A.A., Khamov A.A. Analysis of computational complexity of federated algorithms for neurocognitive control of imitation phenogenetic models of plants. News of the Kabardino-Balkarian Scientific Center of RAS.<\/em>2024. Vol. 26. No. 5. Pp. 107\u2013128. DOI: 10.35330\/<\/strong>1991-6639-2024-26-5-107-128<\/p>\n\n\n\n

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References<\/strong><\/summary>\n
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  1. Dav\u00edn A. A., Tricou T., Tannier E. Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages. Bioinformatics.<\/em> 2020. Vol. 36. No. 4. Pp. 1286\u20131288. DOI: 10.1093\/bioinformatics\/btz710<\/li>\n\n\n\n
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  3. Mikhailova N.V. Reshetchatye imitacionnye modeli dinamiki populyaciy travyanistyh rasteniy raznyh zhiznennyh form<\/em> [Lattice simulation models of population dynamics of herbaceous plants of different life forms]: Ph.D. dissertation. biol. sciences. 03.00.16. 2008. (In Russian)<\/li>\n\n\n\n
  4. Badenko V.L., Topag A.G., Medvedev S.A., Zakharova E.T. Models of the production process of agricultural plants for the analysis of the elements of some farming systems. Taurida Herald of the Agrarian Sciences<\/em>. 2021. No. 1(25). Pp. 8\u201327. DOI: 10.33952\/2542-0720-2021-1-25-8-27. (In Russian)<\/li>\n\n\n\n
  5. Komarov A.S. Imitacionnye modeli nelineynoy dinamiki soobshchestv rasteniy <\/em>[Simulation models of nonlinear dynamics of plant communities]: abstract dis. doctor of biology sciences. 03.00.16. 2004. (In Russian)<\/li>\n\n\n\n
  6. https:\/\/cran.r-project.org\/web\/packages\/AlphaSimR\/AlphaSimR.pdf <\/li>\n\n\n\n
  7. https:\/\/surveillance.cancer.gov\/genetic-simulation-resources\/packages\/simphy\/edit\/<\/li>\n\n\n\n
  8. Nagoev Z.V., Anchekov M.I., Bogotova Z.I. et al. Collaborative selection system based on a consortium of heterogeneous intelligent agents. News of the Kabardino-Balkarian Scientific
    Center of RAS<\/em>. 2022. No. 5(109). Pp. 25\u201337. DOI: 10.35330\/1991-6639-2022-5-109-25-37. (In Russian)<\/li>\n\n\n\n
  9. Nagoev Z.V., Anchekov M.I., Bzhikhatlov K.Ch. et al. Onto-episociophylogenetic development of general artificial intelligence systems based on multi-agent neurocognitive architectures. News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2022. No. 6(110). Pp. 61\u201375. DOI: 10.35330\/1991-6639-2023-6-116-179-192. (In Russian)<\/li>\n\n\n\n
  10. Nagoev Z.V., Anchekov M.I., Kurashev Zh.Kh., Khamov A.A. Neurocognitive learning algorithm for a multi-agent system for evolutionary modeling of gene expression based on plant PCR analysis data. News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2023. No. 6(116). Pp. 179\u2013192. (In Russian)<\/li>\n\n\n\n
  11. Nagoev Z.V., Bzhikhatlov K.Ch., Zagazezheva O.Z. Neurocognitive methods and algorithms for federated learning of intelligent integrated information and control systems in a real communication environment. Izvestiya YUFU. Tekhnicheskiye nauki<\/em> [Bulletin of the Southern Federal University. Technical sciences]. 2024. No. 1(237). Pp. 111\u2013121. DOI: 10.18522\/2311-3103-2024-1-111-121. (In Russian)<\/li>\n\n\n\n
  12. 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. 235 p. (In Russian)<\/li>\n<\/ol>\n\n\n\n

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    Information about the authors<\/strong><\/summary>\n

    Mukhamed A. Abazokov<\/strong>, Junior Researcher, Laboratory of \u201cNeurocognitive Autonomous Intelligent Systems\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    360002, Russia, Nalchik, 2 Balkarov street;
    abazokov1997@mail.ru, ORCID: https:\/\/orcid.org\/0000-0002-8710-1562, SPIN-code: 5167-5962 <\/p>\n\n\n\n

    Murat I. Anchekov<\/strong>, Researcher, Laboratory of \u201cMolecular selection and biotechnology\u201d, KabardinoBalkarian 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, SPIN-code: 3299-0927
    Kantemir Ch. Bzhikhatlov<\/strong>, Candidate of Physical and Mathematical Sciences, Head of the Laboratory of \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, SPIN-code: 9551-5494
    Zhiraslan Kh. Kurashev<\/strong>, Head of the Laboratory of \u201cMolecular Breeding and Biotechnology\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    360000, Russia, Nalchik, 224 Kirov street;
    ORCID: https:\/\/orcid.org\/0000-0001-9442-6122, SPIN-code: 8549-2620
    Zalimkhan V. Nagoev<\/strong>, Candidate of Technical Sciences, General Director of the KabardinoBalkarian 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, SPIN-code: 6279-5857
    Olga V. Nagoeva<\/strong>, Researcher, Department of \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, SPIN-code: 9478-3325
    Alim A. Unagasov<\/strong>, Junior Researcher, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
    360000, Russia, Nalchik, 37-a I. Armand street;
    alim.unagasov@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3828-7468
    Anzor A. Khamov<\/strong>, Junior Researcher, Laboratory of \u201cMolecular Breeding and Biotechnology\u201d, 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<\/p>\n\n\n\n

    <\/p>\n\n\n\n

    <\/p>\n<\/details>\n","protected":false},"excerpt":{"rendered":"

    Analysis of computational complexity of federated algorithms for neurocognitive control of imitation phenogenetic models of plants M.A. Abazokov, M.I. Anchekov, K.Ch. Bzhikhatlov, Zh.Kh. Kurashev, Z.V. Nagoev, O.V. Nagoeva, A.A. Unagasov, A.A. Khamov Upload the full text Abstract. The aim of the study is to develop a methodology for creating hybrids of economically useful plants with […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2183","page","type-page","status-publish","hentry"],"yoast_head":"\n26.5.9 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\/26-5-9-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"26.5.9 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=\"Analysis of computational complexity of federated algorithms for neurocognitive control of imitation phenogenetic models of plants M.A. Abazokov, M.I. 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