{"id":10384,"date":"2026-04-07T09:18:47","date_gmt":"2026-04-07T08:18:47","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=10384"},"modified":"2026-04-10T11:17:04","modified_gmt":"2026-04-10T10:17:04","slug":"25-6-37-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-6-37-en\/","title":{"rendered":"25.6.37 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:22px\"><strong>Theories of embodied cognition in the task of formal representation of semantics based on the multiagent neurocognitive architectures<\/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-61e4b2183ddb5215378852c2362a9039\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong>D.G. Makoeva, K.F. Krai, A.Z. Enes<\/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-d3328a80 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\">\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\/37-mak.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-5a748d61b684b15e008bfdd330f9f707\" style=\"line-height:1.4\"><em><strong><strong>Abstract<\/strong>:<\/strong> <\/em>Today being surrounded by devices with artificial intelligence, it is obvious that natural language is the most convenient way to use them. To achieve this level of communication, intelligent systems have to understand language at semantic level. Formal representation of semantics has been an obstacle to the development of speech understanding systems for decades. In this article, we present a brief overview of theories of embodied cognition that we argue provide a plausible explanation of how semantic meaning is mapped into our brains, and multi-agent systems can provide a reliable tool for modeling these processes.<\/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-6beb6f77eda41e327a536953de1f629e\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> multi-agent systems, neurocognitive architectures, grounded\/embodied cognition, formal semantics, meaning representation, sensori-motor experience<\/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-250e95f451354dbd921431b27df15b91\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Makoeva D.G., Krai K.F., Enes A.Z. Theories of embodied cognition in the task of formal representation of semantics based on the multiagent neurocognitive architectures. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2023. No. 6(116). Pp. 391\u2013399. DOI: 10.35330\/1991-6639-2023-6-116-391-399<\/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-9618a4458649048443374d7181fbcbe3 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\">Evans V., Green M. 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DOI: 10.1017\/S0140525X00005756<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Barsalou L.W. Perceptual symbol systems. <em>Behavioral and Brain Sciences. <\/em>1999. Vol. 22. Pp. 637\u2013660. DOI: 10.1017\/S0140525X99002149<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Johnson-Laird P.N. Mental models: Towards a cognitive science of language, inference, and consciousness.<em> Language. <\/em>1983. Pp. 897\u2013903. DOI: 10.2307\/414498<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Zwaan R.A., Madden C.J. Embodied sentence comprehension. Grounding cognition: The role of action and perception in memory, language, and thinking. 2005. Pp. 224\u2013245. DOI: 10.1017\/CBO9780511499968.010<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Hebb D. The organization of behavior. New York: Wiley, 1949. 378 p.<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Lachmair M., Dudschig C., De Filippis M., de la Vega I., Kaup B. Root versus roof: Automatic activation of location information during word processing. <em>Psychonomic Bulletin &amp; Review. <\/em>2011. No. 18. Pp. 1180\u20131188. DOI: 10.3758\/s13423-011-0158-x<\/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> [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.V., Nagoeva O.V. <em>Obosnovaniye simvolov i mul&#8217;tiagentnyye neyrokognitivnyye modeli semantiki yestestvennogo yazyka<\/em> [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.V. Ontoneuromorphological modelling. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2013. No. 4(54). Pp. 46\u201356. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Vogt P. Language evolution and robotics: Issues on symbol grounding and language acquisition. <em>Artificial Cognition Systems. <\/em>2006. Pp. 89\u2013118.<\/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-6d872eb0b468c98c433aea34dfda8ee4 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 authors<\/strong><\/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>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>Krai Karina Faezovna<\/strong>, Junior Researcher of the Laboratory of Computational Linguistics, Institute of Computer Science and Problems of Regional Management \u2013 branch of Kabardino-Balkarian Scientific<br>Center of the Russian Academy of Sciences;<br>360000, Russia, Nalchik, 37-a I. Armand street;<br>kraykarina@mail.ru, ORCID: https:\/\/orcid.org\/0000-0002-6927-7361<br><strong>Enes Akhmed Zyulfikar<\/strong>, Junior 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>ahmedenes@mail.ru, ORCID: https:\/\/orcid.org\/0000-0003-3633-4910<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><br><\/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\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","protected":false},"excerpt":{"rendered":"<p>Theories of embodied cognition in the task of formal representation of semantics based on the multiagent neurocognitive architectures D.G. Makoeva, K.F. Krai, A.Z. Enes Upload the full text Abstract: Today being surrounded by devices with artificial intelligence, it is obvious that natural language is the most convenient way to use them. To achieve this level [&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-10384","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>25.6.37 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\/25-6-37-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"25.6.37 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=\"Theories of embodied cognition in the task of formal representation of semantics based on the multiagent neurocognitive architectures D.G. 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