The situational analysis and synthesis of intellectual
News of the Kabardin-Balkar scientific center of RAS, no. 4 (2013), pp. 29-36.

Voir la notice de l'article provenant de la source Math-Net.Ru

We propose to build the decision of tasks of situational analysis and synthesis of intelligent behavior in systems of ambient security on a basis of self-organizing multiagent recursive cognitive architectures. Formalization of such architectures is worked out on a basis of recursive determined abstract automata. The task of synthesis of intelligent control over the system of ambient security is reduced to an informed search of the path that is suboptimal on criterion of maximization of energy in a decision tree with the length up to the planning horizon.
Keywords: enveloping intelligence, systems of enveloping safety, multiagentny recursive cognitive architecture, the abstract determined machine guns, synthesis of optimum control.
@article{IZKAB_2013_4_a3,
     author = {P. M. Ivanov and O. B. Makarevich and Z. V. Nagoev},
     title = {The situational analysis and synthesis of intellectual},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {29--36},
     publisher = {mathdoc},
     number = {4},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2013_4_a3/}
}
TY  - JOUR
AU  - P. M. Ivanov
AU  - O. B. Makarevich
AU  - Z. V. Nagoev
TI  - The situational analysis and synthesis of intellectual
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2013
SP  - 29
EP  - 36
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2013_4_a3/
LA  - ru
ID  - IZKAB_2013_4_a3
ER  - 
%0 Journal Article
%A P. M. Ivanov
%A O. B. Makarevich
%A Z. V. Nagoev
%T The situational analysis and synthesis of intellectual
%J News of the Kabardin-Balkar scientific center of RAS
%D 2013
%P 29-36
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2013_4_a3/
%G ru
%F IZKAB_2013_4_a3
P. M. Ivanov; O. B. Makarevich; Z. V. Nagoev. The situational analysis and synthesis of intellectual. News of the Kabardin-Balkar scientific center of RAS, no. 4 (2013), pp. 29-36. http://geodesic.mathdoc.fr/item/IZKAB_2013_4_a3/

[1] Z. A. Bashorov, Z. V. Nagoev, Multiagentnaya sistema obvolakivayuschei bezopasnosti na osnove avtonomnykh programmnykh agentov i mobilnykh robotov, v. 1, Izd-vo TTI YuFU, Taganrog, 2010, 153-157

[2] V. M. Glushkov, Vvedenie v kibernetiku, Pechataetsya po postanovleniyu nauchnogo soveta po kibernetike AN USSR, Izd-vo AN USSR, Kiev, 1964

[3] V. I. Gorodetskii, O. V. Karsaev, V. V. Samoilov, S. V. Serebryakov, “Prikladnye mnogoagentnye sistemy gruppovogo upravleniya”, Iskusstvennyi intellekt i prinyatie reshenii, 2009, no. 2

[4] P. M. Ivanov, Avtomatno-algebraicheskie modeli v informatsionnykh tekhnologiyakh (23-29 dekabrya 2011 g., Krasnaya Polyana), v. I, Izd-vo KBNTs RAN, 4–15

[5] P. M. Ivanov, Algebraicheskoe modelirovanie slozhnykh sistem, Nauka Fizmatlit, M., 1996, 272 pp. | MR

[6] P. M. Ivanov, Z. V. Nagoev, Avtomatnoe opisanie multiagentnoi rekursivnoi kognitivnoi arkhitektury dlya zadachi formalizatsii protsessa intellektualnogo prinyatiya reshenii (9-15 oktyabrya, Makhachkala), v. 1, Izd-vo KBNTs RAN, 2012, 7–14 pp.

[7] P. M. Ivanov, Z. V. Nagoev, “Samoorganizuyuschayasya sistema prinyatiya reshenii na osnove avtomatnogo predstavleniya rekursivnoi multiagentnoi kognitivnoi arkhitektury dlya sistem obvolakivayuschego intellekta”, Izvestiya KBNTs RAN, 2012, no. 5 (49), 30–37

[8] V. Ch. Kudaev, Z. V. Nagoev, O. V. Nagoeva, “Rekursivnye agenty dlya zadach modelirovaniya intellektualnogo prinyatiya reshenii na osnove samoorganizatsii multiagentnykh kognitivnykh arkhitektur”, Izvestiya KBNTs RAN, 2012, no. 4 (48)

[9] A. A. Letichevskii, Yu. V. Kapitonova, “Insertsionnoe modelirovanie”, Pratsi. mizhnar.konf.50 rokiv Institutu kibernetiki im V.M. Glushkova NAN Ukraini, Vid-vo K NANU, Kiiv, 2008, 293–301

[10] Z. V. Nagoev, “Formalizatsiya agenta dlya zadachi sinteza intellektualnogo povedeniya na osnove rekursivnoi kognitivnoi arkhitektury”, Materialy mezhdunarodnogo kongressa po intellektualnym sistemam i informatsionnym tekhnologiyam IS (2-9 sentyabrya 2012 g., Divnomorskoe), v. II

[11] Z. V. Nagoev, Intellektualnaya sistema na osnove fraktalnoi multiagentnoi neironnoi plastichnoi kognitivnoi arkhitektury, Materialy mezhdunarodnogo kongressa po intellektualnym sistemam i informatsionnym tekhnologiyam IS (2-9 sentyabrya 2011 g., Divnomorskoe), v. III, 5–10 pp.

[12] 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 (2-9 sentyabrya 2013 g., Divnomorskoe)

[13] Styuart Rassel, Piter Norvig, Iskusstvennyi intellekt: sovremennyi podkhod (AIMA) = Artificial Intelligence: A Modern Approach (AIMA), 2-e izd., Vilyams, M., 2007, 1424 pp.

[14] V. B. Tarasov, Ot mnogoagentnykh sistem k intellektualnym organizatsiyam, Editorial URSS, M., 2002, 352 pp.

[15] M. L. Tsetlin, Issledovaniya po teorii avtomatov i modelirovaniyu biologicheskikh sistem, Nauka, M., 1969

[16] M. L. Tsetlin, “O povedenii konechnykh avtomatov v sluchainykh sredakh”, Avtomatika i telemekhanika, 22:10 (1961), 1345–1354

[17] A. Letichevsky, D. Gilbert, “A Model for Interaction of Agents and Environments,”, Resent Trends in Algebraic Development Techniques, LNCS, 1827, eds. D.Bert, C.Choppy, P.Moses, 1999, 311–328

[18] 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

[19] Lev Naumov, Anatoly Shalyto, “Automata Theory for Multi-Agent Systems Implementation”, Proceedings of International Conference Integration of Knowledge Intensive Multi-Agent Systems, Modeling, Exploration and Engineering, KIMAS- 03, IEEE Boston Section, Boston, 2003, 65–70