{"id":10328,"date":"2026-04-07T08:52:09","date_gmt":"2026-04-07T07:52:09","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=10328"},"modified":"2026-06-18T09:28:17","modified_gmt":"2026-06-18T08:28:17","slug":"25-6-20-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-6-20-en\/","title":{"rendered":"25.6.20 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:22px\"><strong>Multi-agent neurocognitive algorithm for controlling the reference of speech events of communication of a general artificial intelligence agent in a situation of synchronous multiple dialogues<\/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-f941836177ba8c53ff50ba23d2f9763e wp-block-paragraph\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong>Z.V. Nagoev, O.V. Nagoeva, D.G. Makoeva, I.A. Gurtueva<\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-content-justification-left is-nowrap is-layout-flex wp-container-core-group-is-layout-20193d73 wp-block-group-is-layout-flex\" style=\"border-style:none;border-width:0px;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 wp-elements-1934a6274ad67c2dd8d97ce7471e2bbb wp-block-paragraph\" style=\"color:#5b1919;font-size:12px;text-decoration:underline\"><\/p>\n\n\n\n<div class=\"wp-block-group is-horizontal is-layout-flex wp-container-core-group-is-layout-9076828a 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-856cf56e 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-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/06\/20.-nag.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);font-size:12px\">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\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--2\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-text-align-center has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/06\/17.-nagoe.xml\" style=\"border-color:#5b1919;border-width:2px;border-top-left-radius:8px;border-top-right-radius:8px;border-bottom-left-radius:8px;border-bottom-right-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);font-size:12px\">JATS XML<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-41ee428b6a5740c7f514a7432ff786a3 wp-block-paragraph\" style=\"border-style:none;border-width:0px;border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-left-radius:0px;border-bottom-right-radius:0px;color:#5b1919;margin-top:0;margin-right:0;margin-bottom:0;margin-left:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\"><\/p>\n<\/div>\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<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-be29c5488bbb181c38020b09afe3832a wp-block-paragraph\" style=\"line-height:1.4\"><em><strong><strong>Abstract<\/strong>.<\/strong> <\/em>Basic principles, models and algorithms for controlling the reference of speech messages have been developed based on the creation of a two-circuit model of multi-agent neurocognitive architecture \u2013 a superintellecton, which implements the interaction of the subconscious intellecton and the conscious intellecton. Requirements for ontologies of a general artificial intelligence agent, the conditions for their formation, and the functional units of neurocognitive architectures necessary for their effective formation in the training mode are outlined. The results obtained can be used to create speech recognition and understanding systems that are operational when used in noisy environments and situations of multiple synchronous dialogues to improve the quality of recognition using an understanding of the context of situations.<\/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 wp-block-paragraph\" 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-8d49df1425b0f7838247858d74495431 wp-block-paragraph\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> artificial general intelligence, multi-agent systems, neurocognitive architectures, speech recognition, speech understanding<\/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 wp-block-paragraph\" 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-bba30c1361914a4e26d2acf80c0e27ad wp-block-paragraph\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> 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 a general artificial intelligence agent in a situation of synchronous multiple dialogues. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 6(116). Pp. 193\u2013209. DOI: 10.35330\/1991-6639-2023-6-116-193-209<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-17c3333a0b1db39b7fa4a3e1a1572bc4 wp-block-paragraph\" 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-8f7a0d796b7d37ab6d3de33fbf024612 is-layout-flow wp-container-core-details-is-layout-f488f964 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\">Nagoev Z.V. Intellektika, ili Myshleniye v zhivykh i iskusstvennykh sistemakh [Intelligence, 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\">Cyrus H. Gordon. The Accidental Invention of the Phonemic Alphabet. Journal \u043ef Near Eastern Studies. 1970. Vol. 29. No. 3. Pp. 193\u2013197.<\/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. Obosnovaniye simvolov i mul&#8217;tiagentnyye neyrokognitivnyye modeli semantiki yestestvennogo yazyka [Symbol grounding and multi-agent neurocognitive models of natural language semantics]. Nalchik: Izdatel&#8217;stvo KBNTS RAN, 2022. 150 p. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">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 Researchthis link is disabled. 2023. No. 79. Pp. 71\u201384.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z., Pshenokova I., Nagoeva O., Sundukov Z. Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures. Cognitive Systems Research. Vol. 66. 2021. Pp. 82\u201388. ISSN 1389-0417. https:\/\/doi.org\/10.1016\/j.cogsys. 2020.10.015.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z., Nagoeva O., Gurtueva I. Multi-agent neurocognitive models of semantics of spatial localization of events. Cognitive Systems Research. 2020. Vol. 59. Pp. 91\u2013102.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z., Gurtueva I., Malyshev D., Sundukov Z. Multi-agent algorithm imitating formation of phonemic awareness. Advances in Intelligent Systems and Computing. 2020. Vol. 948. Pp. 364\u2013369.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z., Pshenokova I., Gurtueva I., Bzhikhatlov K. A simulation model for the cognitive function of static objects recognition based on machine-learning multi-agent architectures. Advances in Intelligent Systems and Computing. 2020. Vol. 948. Pp. 370\u2013378.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nagoev Z.V. Ontoneuromorphogenetic modeling. News of the Kabardino-Balkarian Scientific Center of RAS. 2013. No. 4(54). Pp. 46\u201356. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Hui P.-Y., Meng H. Latent Semantic Analysis for Multimodal User Input With Speech and Gestures. IEEE\/ACM Transactions on Audio, Speech and Language Processing. 2014. Vol. 22. No. 2. Pp. 417\u2013429.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Despotovic V., Walter O., Haeb-Umbach R. Machine learning techniques for semantic analysis of dysarthric speech: An experimental study. Speech Communication. 2018. Vol. 99. Pp. 242\u2013251.<\/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-e735492fe1a67e9c2f410e2f60e32575 is-layout-flow wp-container-core-details-is-layout-9ff6af70 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the authors<\/strong><\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-1c18c512 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 class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><strong>Nagoev Zalimkhan Vyacheslavovich<\/strong>, Candidate of Technical Sciences, General Director of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>360000, Russia, Nalchik, 37-a I. Armand street;<br>zaliman@mail.ru, ORCID: https:\/\/orcid.org\/0000-0001-9549-1823<br><strong>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;<br>360000, Russia, Nalchik, 37-a I. Armand street;<br>nagoeva_o@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-2341-7960<br><strong>Makoeva Dana Gisovna<\/strong>, Candidate of Philological Sciences, Head of the Laboratory of Computational Linguistics, Institute of Computer Science and Problems of Regional Management \u2013 branch of KabardinoBalkarian Scientific Center of the Russian Academy of Sciences;<br>360000, Russia, Nalchik, 37-a I. Armand street;<br>makoevadana@mail.ru, ORCID: https:\/\/orcid.org\/0000-0001-5955-2262<br><strong>Gurtueva Irina Aslanbekovna<\/strong>, Researcher of the Laboratory of Computational Linguistics, Institute of Computer Science and Problems of Regional Management \u2013 branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;<br>360000, Russia, Nalchik, 37-a I. Armand street;<br>gurtueva-i@yandex.ru, ORCID: https:\/\/orcid.org\/0000-0003-4945-5682<\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\" style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Multi-agent neurocognitive algorithm for controlling the reference of speech events of communication of a general artificial intelligence agent in a situation of synchronous multiple dialogues Z.V. Nagoev, O.V. Nagoeva, D.G. Makoeva, I.A. Gurtueva Abstract. Basic principles, models and algorithms for controlling the reference of speech messages have been developed based on the creation of a [&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-10328","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>25.6.20 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\/25-6-20-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"25.6.20 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=\"Multi-agent neurocognitive algorithm for controlling the reference of speech events of communication of a general artificial intelligence agent in a situation of synchronous multiple dialogues Z.V. 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Nagoev, O.V. Nagoeva, D.G. Makoeva, I.A. Gurtueva Abstract. 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