{"id":6069,"date":"2026-01-21T12:15:34","date_gmt":"2026-01-21T12:15:34","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=6069"},"modified":"2026-04-13T13:14:04","modified_gmt":"2026-04-13T12:14:04","slug":"27-6-17-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/27-6-17-en\/","title":{"rendered":"27.6.17 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:22px\"><strong>Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-7bbf75c602863bf49d1ab2052d4a8f84\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong>I.A. Pshenokova, M.I. Anchekov, K.Ch. Bzhikhatlov, Z.V. Nagoev, O.V. Nagoeva, A.A. Khamov<\/strong><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-86b70c892ee51d64e6bf0730e3274f25\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-24a27e19 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-fa99f84d8051eb763ab85c3007cdb1c2\" style=\"color:#5b1919;text-decoration:underline\"><strong><strong>Upload the full text<\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/04\/17-pshenokova-anchekov-nagoev.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-196e70243bdab22090c83b9f60504097\" style=\"line-height:1.4\"><em><strong><strong>Abstract<\/strong><\/strong>. <\/em>The relevance of this work stems from the need to enhance the productivity, manageability, and efficiency of plant breeding and cultivation processes by creating predictive models. A general architecture for plant simulation systems based on universal artificial intelligence agents is developed. The feasibility of using a design metaphor for decentralized collaborative dialog systems based on universal artificial intelligence agents for developing such systems is substantiated. Generalized multi-agent training algorithms are developed for controlling neurocognitive architectures of artificial intelligence agents in plant simulation models; these algorithms are based on knowledge extracted from texts and natural language utterances, as well as the implementation of exploratory behavior by autonomous mobile robots in a real environment.<br><strong>Aim<\/strong>. The study is to develop a methodology for creating simulation models of plants based on dialogue agents of universal artificial intelligence.<br><strong>Research methods<\/strong>. The possibility of using a design metaphor for decentralized collaborative dialogue systems based on universal artificial intelligence agents to develop such systems is substantiated.<br><strong>Results<\/strong>. Fundamental principles for constructing open-source plant simulation models with high expressiveness and predictive power have been developed based on neuropsychological agents from universal artificial intelligence.<br><strong>Conclusion<\/strong>. A general architecture for plant simulation systems has been developed created on universal artificial intelligence agents and autonomous mobile robots.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-19a917577e8a02b506874df24f6296a5\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong><\/em><\/strong><em>:<\/em> plant simulation modeling, general artificial intelligence agents, neurocognitive systems and algorithms, digital phenotyping, molecular structure of plants<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-021ae622ef84d9f52960a64d7c857238\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Pshenokova I.A., Anchekov M.I., Bzhikhatlov K.Ch., Nagoev Z.V., Nagoeva O.V., Khamov A.A. Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence. <em>News of the Kabardino-Balkarian Scientific Center of RAS. <\/em>2025. Vol. 27. No. 6. Pp. 209\u2013224. DOI: 10.35330\/1991-6639-2025-27-6-209-224<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-17c3333a0b1db39b7fa4a3e1a1572bc4\" style=\"font-size:12px;line-height:1.4\"><\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-d79d9e0497aa5be7b1acdaa866a452c0 is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Anchekov M.I. et al. RETRACTED: Principles of ontophylogenetic development of artificial general intelligence systems based on multi-agent neurocognitive architectures. BIO Web of Conferences. EDP Sciences, 2024. Vol. 84. P. 02015<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Anchekov M.I., Kurashev Zh.Kh., Leshkenov A.M. Application of multi-agent robotic systems in agriculture. <em>News of the Kabardino-Balkarian Scientific Center of RAS. <\/em>2024. Vol. 26. No. 6. Pp. 158\u2013164. DOI: 10.35330\/1991-6639-2024-26-6-158-164. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V. et al. Universal expert system based on ontoepisociophylogenetic learning of federations of intelligent neurocognitive agents. <em>News of the Kabardino-Balkarian Scientific Center of RAS.<\/em> 2024. Vol. 26. No. 6. Pp. 197\u2013207. DOI: 10.35330\/1991-6639-2024-26-6-197-207. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Anchekov M.I. et al. Formal model of the genome of an agent of general artificial intelligence based on multi-agent neurocognitive architectures. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2023. No. 5 (115). Pp. 11\u201324. DOI: 10.35330\/1991-6639-2023-5-115-11-24. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Anchekov M.I., Leshkenov A.M. Virtual modeling system for robotic systems for agricultural purposes. <em>News of the Kabardino-Balkarian Scientific Center of RAS. <\/em>2023. No. 6(116).<br>Pp. 125\u2013131. DOI: 10.35330\/1991-6639-2023-6-116-125-131. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V. et al. Neurocognitive learning algorithm for a multi-agent system for evolutionary modeling of gene expression based on plant PCR analysis. <em>News of the Kabardino-Balkarian Scientific Center of RAS.<\/em> 2023. No. 6 (116). Pp. 179\u2013192. DOI: 10.35330\/1991-6639-2023-6-116-179-192. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Anchekov M.I., Bzhikhatlov K.Ch., Leshkenov A.M. High-performance systems for phenotyping agricultural crops. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2022. No. 5(109). Pp. 19\u201324. DOI: 10.35330\/1991-6639-2022-5-109-19-24. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Anchekov M.I., Bogotova Z.I., Pshenokova I.A., Nagoev Z.V. et al. Collaborative breeding system based on a consortium of heterogeneous intelligent agents. <em>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<li style=\"font-style:normal;font-weight:400\">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. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2023. No. 6(116). Pp. 179\u2013192. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V., Pshenokova I.A., Nagoeva O.V. et al. Simulation model of a neurocognitive control system for an autonomous software agent performing cooperative behavior for the purpose of automatic ontology replenishment. <em>News of the Kabardino-Balkarian Scientific Center of RAS.<\/em> 2023. No. 6(116). Pp. 226\u2013234. DOI: 10.35330\/1991-6639-2023-6-116-226-234. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V. Basic principles of neurocognitive modeling of consciousness of an agent of universal artificial intelligence. <em>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. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V., Oshkhunov M.M. <em>Matematicheskiye modeli deformiruyemykh sred dlya intellektual&#8217;nykh sistem virtual&#8217;nogo prototipirovaniya<\/em> [Mathematical Models of Deformable<br>Media for Intelligent Systems of Virtual Prototyping]. Nalchik: Izdatel&#8217;stvo KBNTS RAN, 2013. 201 p. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V. <em>Intellektika, ili Myshleniye v zhivykh i iskusstvennykh sistemakh<\/em> [Intellectics, or Thinking in Living and Artificial Systems]. Nalchik: Izdatel&#8217;stvo KBNTS RAN, 2013. 232 p. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Russell S., Norvig P. Artificial Intelligence: A Modern Approach (AIMA). 2nd ed. Moscow: Williams, 2007. 1424 p.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V., Nagoeva O.V. <em>Obosnovaniye simvolov i mul&#8217;tiagentnyye neyrokognitivnyye modeli semantiki yestestvennogo yazyka<\/em> [Justification of Symbols and Multi-Agent<br>Neurocognitive Models of Natural Language Semantics]. Nalchik: Izdatel&#8217;stvo KBNTS RAN, 2022. 150 p. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-36ba1dff56865ce0f565655d6655d532 is-layout-flow wp-container-core-details-is-layout-5dafc681 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the author<\/strong>s<\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-b291ae12 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p style=\"font-style:normal;font-weight:400\"><strong>Inna A. Pshenokova<\/strong>, Candidate of Physics and Mathematics, Head of the Research Center \u201cIntellectual Integrated Information and Management Systems\u201d, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>2, Balkarov street, Nalchik, 360010, Russia;<br>pshenokova_inna@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3394-7682, SPIN-code: 3535-2963<br><strong>Murat I. Anchekov,<\/strong> Head of the Laboratory of Simulation Modeling of Phenogenetic Processes at the Scientific Research Center of Intelligent Genetic Systems, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>2, Balkarov street, Nalchik, 360010, Russia;<br>murat.antchok@gmail.com, ORCID: https:\/\/orcid.org\/0000-0002-8977-797X, SPIN-code: 3299-0927<br><strong>Kantemir Ch. Bzhikhatlov<\/strong>, Candidate of Physics and Mathematics, Head of the Laboratory of Neurocognitive Autonomous Intelligent Systems, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>2, Balkarov street, Nalchik, 360010, Russia;<br>Director of the Institute of Informatics and Regional Management Problems \u2013 branch of the KabardinoBalkarian Scientific Center of the Russian Academy of Sciences;<br>37-a, I. Armand street, Nalchik, 360000, Russia;<br>haosit13@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-0924-0193, SPIN-code: 9551-5494<br><strong>Zalimkhan V. Nagoev<\/strong>, Candidate of Technical Sciences, General Director of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>2, Balkarov street, Nalchik, 360010, Russia;<br>Leading Researcher, Multi-Agent Systems Department, Institute of Computer Science and Problems of Regional Management \u2013 branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>37-a, I. Armand street, Nalchik, 360000, Russia;<br>zaliman@mail.ru, ORCID: https:\/\/orcid.org\/0000-0001-9549-1823, SPIN-code: 6279-5857<br><strong>Olga V. Nagoeva<\/strong>, Researcher, Multi-Agent Systems Department, Institute of Computer Science and Problems of Regional Management \u2013 branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>37-a, I. Armand street, Nalchik, 360000, Russia;<br>nagoeva_o@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-2341-7960<br><strong>Anzor A. Khamov<\/strong>, Junior Researcher, Laboratory of Molecular Breeding and Biotechnology, Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>2, Balkarov street, Nalchik, 360010, Russia;<br>opitnoe2014@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3269-4572<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence I.A. Pshenokova, M.I. Anchekov, K.Ch. Bzhikhatlov, Z.V. Nagoev, O.V. Nagoeva, A.A. Khamov Upload the full text Abstract. The relevance of this work stems from the need to enhance the productivity, manageability, and efficiency of plant breeding and cultivation processes by creating [&hellip;]<\/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-6069","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>27.6.17 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\/27-6-17-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"27.6.17 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=\"Collaborative dialogue system for plant simulation based on neuropsychological agents of universal artificial intelligence I.A. 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