Interactive multimodal training
News of the Kabardin-Balkar scientific center of RAS, no. 1 (2015), pp. 9-15.

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The paper presents a model of interactive multimodal training of cognitive self-organizing systems of natural language control over missions of multiagent robots. The basic principles of the use of multiagent recursive architectures for modeling the semantics of natural language were developed.
Keywords: cognitive self-organizing system, formal semantics, natural language control, multi-agent system.
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M. I. Anchekov; O. V. Nagoeva; O. B. Makarevich; Yu. Kh. Khamukov; D. G. Tokmakova. Interactive multimodal training. News of the Kabardin-Balkar scientific center of RAS, no. 1 (2015), pp. 9-15. http://geodesic.mathdoc.fr/item/IZKAB_2015_1_a0/

[1] Nagoev Z. V., Intellektika ili myshlenie v zhivykh i iskusstvennykh sistemakh, Izdatelstvo KBNTs RAN, Nalchik:, 2013, 211 pp.

[2] Yu. D. Apresyan, Izbrannye trudy, Leksicheskaya semantika (sinonimicheskie sredstva yazyka), v. I., 2-izd., ispr. i dop., Yazyki russkoi kultury., M., 1995, 464 pp.

[3] I. A. Melchuk, Opyt teorii lingvisticheskikh modelei «Smysl-Tekst», Yazyki russkoi kultury, M., 1999, 345 pp.

[4] M. Minskii, Freimy dlya predstavleniya znanii, Energiya, M., 1979, 151 pp.

[5] Ch. Fillmor, Delo o padezhe. Novoe v zarubezhnoi lingvistike, PROGRESS, M., 1981, 369–496 pp.

[6] R. Shenk, Obrabotka kontseptualnoi informatsii, Energiya., M., 1980, 360 pp.

[7] Z. V. Nagoev, Metody prinyatiya reshenii i upravleniya v nestrukturirovannykh zadachakh na osnove samoorganizuyuschikhsya multiagentnykh rekursivnykh kognitivnykh arkhitektur, diss... dok-ra tekhn. nauk., Nalchik, 2013, 304 pp.

[8] Z. V. Nagoev, “Multiagent recursive cognitive architecture”, Advances in Intelligent Systems and Computing series, Proceedings of the third annual meeting of the BICA Society (Biologically Inspired Cognitive Architectures 2012.,), Springer, 2012, 247–248

[9] Z. V. Nagoev, O. V. Nagoeva, “Sintez intellektualnogo povedeniya na osnove multiagentnykh ekzistentsialnykh otobrazhenii i rekursivnykh kognitivnykh arkhitektur”, Materialy mezhdunarodnogo kongressa po intellektualnym sistemam i informatsionnym tekhnologiyam IS (Divnomorskoe, 2-9 sentyabrya 2013)

[10] O. A. Elekova, Z. V. Nagoev, M. I. Anchekov, “Interaktivnaya sreda obucheniya virtualnykh chelovekopodobnykh agentov intellektualnomu povedeniyu”, Izvestiya KBNTs RAN, 2006

[11] Z. V. Nagoev, “Multiagentnye ekzistentsialnye otobrazheniya i funktsii”, Izvestiya KBNTs RAN, 2013, no. 4 (54), 64–71, Izdatelstvo KBNTs RAN, Nalchik:

[12] V. V. Bova, A. N. Dukkart, Z. V. Nagoev, D. G. Tokmakova, “Metod formalnogo predstavleniya semantiki estestvennogo yazyka na osnove multiagentnoi rekursivnoi kognitivnoi arkhitektury”, Izvestiya KBNTs RAN, 2014, Izdatelstvo KBNTs RAN, Nalchik:

[13] J. J. Katz, J. A. Fodor, Language, 39:2 (1963), 170–210

[14] Z. V. Nagoev, O. V. Nagoeva, D. G. Tokmakova, “Adaptivnyi mnogomodalnyi vysokourovnevyi interfeis k avtonomnym sistemam na osnove samoorganizuyuschikhsya multiagentnykh kognitivnykh modelei semantiki”, Materialy devyatoi vserossiiskoi nauchnoprakticheskoi konferentsii «Perspektivnye sistemy i zadachi upravleniya», 2014