Voir la notice de l'article provenant de la source Math-Net.Ru
@article{IZKAB_2023_6_a13, author = {K. Ch. Bzhikhatlov and I. A. Pshenokova and O. V. Nagoeva}, title = {Cooperative interaction of participants in a heterogeneous team}, journal = {News of the Kabardin-Balkar scientific center of RAS}, pages = {132--141}, publisher = {mathdoc}, number = {6}, year = {2023}, language = {ru}, url = {http://geodesic.mathdoc.fr/item/IZKAB_2023_6_a13/} }
TY - JOUR AU - K. Ch. Bzhikhatlov AU - I. A. Pshenokova AU - O. V. Nagoeva TI - Cooperative interaction of participants in a heterogeneous team JO - News of the Kabardin-Balkar scientific center of RAS PY - 2023 SP - 132 EP - 141 IS - 6 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/IZKAB_2023_6_a13/ LA - ru ID - IZKAB_2023_6_a13 ER -
%0 Journal Article %A K. Ch. Bzhikhatlov %A I. A. Pshenokova %A O. V. Nagoeva %T Cooperative interaction of participants in a heterogeneous team %J News of the Kabardin-Balkar scientific center of RAS %D 2023 %P 132-141 %N 6 %I mathdoc %U http://geodesic.mathdoc.fr/item/IZKAB_2023_6_a13/ %G ru %F IZKAB_2023_6_a13
K. Ch. Bzhikhatlov; I. A. Pshenokova; O. V. Nagoeva. Cooperative interaction of participants in a heterogeneous team. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2023), pp. 132-141. http://geodesic.mathdoc.fr/item/IZKAB_2023_6_a13/
[1] S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, 2nd ed., Vil'yams, Moscow, 2007, 1424 pp. (In Russian)
[2] K. Ch. Bzhikhatlov, S. A. Kankulov, D. A. Malyshev et al, “Interactive formation of spatial ontologies of an autonomous robot based on neurocognitive models of semantics”, Materials of the XVI All-Russian Scientific and Practical Conference and the XII Youth School-Seminar “Advanced Systems and Management Problems”, Rostov-na-Donu, 2021, 147–154 (In Russian)
[3] Z. V. Nagoev, I. A. Pshenokova, O. V. Nagoeva, “Automatic reconstruction of the nature of users' temperament based on multi-agent training of neurocognitive models of the conscious and subconscious according to data on user behavior on the Internet”, News of the Kabardino-Balkarian Scientific Center of RAS, 2023:6 (104) (2021), 66–77 (In Russian)
[4] Z. V. Nagoev, Z. A. Sundukov, I. A. Pshenokova, V. A. Denisenko, “CAD architecture of distributed artificial intelligence based on self-organizing neurocognitive architectures”, News of the Kabardino-Balkarian Scientific Center of RAS, 2020, no. 2 (94), 40–47 (In Russian)
[5] A. A. Kulinich, “Decision support model for the formation of coalitions in conditions of uncertainty”, Artificial intelligence and decision making, 2012, no. 2, 95–106 (In Russian)
[6] Z. V. Nagoev, Intelligence, or thinking in living and artificial systems, Izdatel'stvo KBNTS RAN, Nalchik, 2013, 232 pp. (In Russian)
[7] V. I. Gorodetskii, O. V. Karsayev, V. V. Samoylov, S. V. Serebryakov, “Applied multiagent systems of group control”, Scientific and Technical Information Processing, 37:5 (2010), 301–317 | DOI
[8] Awni Hannun, The Role of Evolution in Machine Intelligence, 2021
[9] Z. Nagoev, I. Pshenokova, O. Nagoeva, Z. Sundukov, “Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures”, Cognitive Systems Research, 66 (2021), 82–88
[10] Z. V. Nagoev, O. V. Nagoeva, Justification of symbols and multi-agent neurocognitive models of natural language semantics, Izdatel'stvo KBNTS RAN, Nalchik, 2022, 150 pp. (In Russian)