Geodesic
Development of computer model
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 61-65.

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The paper deals with the design of the structure of software that provides the functionality of the multi-agent recursive cognitive architecture. The structure of software is proposed, its main components are highlighted, mechanisms of interaction between the components are demonstrated.
Keywords: development, multi-agent modeling, recursive architecture, knowledge representation. 
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V. A. Denisenko; M. I. Anchekov; M. M. Karmokov; Z. A. Sundukov. Development of computer model. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2015), pp. 61-65. http://geodesic.mathdoc.fr/item/IZKAB_2015_6-2_a8/

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

[2] M. I. Anchokov, “Solution to the problem of training a multi-agent neural network by means of a multi-chromosome genetic algorithm”, 14-th International Conferenceon, Hybrid Intelligent Systems (HIS), Kuwait, 2014

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

[4] M. I. Anchekov, O. V. Nagoeva, O. B. Makarevich, D. G. Tokmakova, Yu. Kh. Khamukov, “Interaktivnoe mnogomodalnoe obuchenie kognitivnykh samoorganizuyuschikhsya sistem estestvenno-yazykovogo upravleniya missiyami multiagentnykh robotov”, Izvestiya Kabardino-Balkarskogo nauchnogo tsentra RAN, 2015, no. 1 (63), 9–15

[5] M. I. Anchekov, V. V. Bova, O. V. Nagoeva, A. A. Novikov, I. A. Pshenokova, “Evolyutsionnyi podkhod k sozdaniyu neirosetevoi modeli kollektivnogo resheniya intellektualnykh zadach”, Izvestiya Kabardino-Balkarskogo nauchnogo tsentra RAN, 2015, no. 5 (67), 24–30

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