Development of cognitive architecture BDI of the intellectual agent
News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2017), pp. 33-42.

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

The article proposes the cognitive architecture of the BDI intelligent agent, which includes: an imitation module (imitation model) that implements the simulation mechanisms of interaction scenarios and simulates unimodal perception of intellectual agents; model of representation of knowledge, subsystem of planning of behavior and cooperation of agents. The agent's knowledge representation model describes the structure of the agent's operational environment on subspaces that define classes of possible states based on the structural elements of the knowledge representation, behavior planning, and cooperative interaction of agents in a qualitative multi-agent environment. The simulator is a complete or simplified model of the environment in which an agent is recurrently called up in the simulation process. The developed cognitive architecture should be considered as a prototype on the basis of which it is possible to construct various specific imitation models of knowledge representation reflecting aspects of multiagent interaction of fragments of cognitive architectures modeling unimodal perception of intellectual agents.
Keywords: cognitive architecture, multimodal knowledge representation, multi-agent systems, intelligent system.
Mots-clés : InteRRap-agent architecture
@article{IZKAB_2017_6-2_a4,
     author = {V. V. Bova and A. A. Lezhebokov},
     title = {Development of cognitive architecture {BDI} of the intellectual agent},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {33--42},
     publisher = {mathdoc},
     number = {6-2},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2017_6-2_a4/}
}
TY  - JOUR
AU  - V. V. Bova
AU  - A. A. Lezhebokov
TI  - Development of cognitive architecture BDI of the intellectual agent
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2017
SP  - 33
EP  - 42
IS  - 6-2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2017_6-2_a4/
LA  - ru
ID  - IZKAB_2017_6-2_a4
ER  - 
%0 Journal Article
%A V. V. Bova
%A A. A. Lezhebokov
%T Development of cognitive architecture BDI of the intellectual agent
%J News of the Kabardin-Balkar scientific center of RAS
%D 2017
%P 33-42
%N 6-2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2017_6-2_a4/
%G ru
%F IZKAB_2017_6-2_a4
V. V. Bova; A. A. Lezhebokov. Development of cognitive architecture BDI of the intellectual agent. News of the Kabardin-Balkar scientific center of RAS, no. 6-2 (2017), pp. 33-42. http://geodesic.mathdoc.fr/item/IZKAB_2017_6-2_a4/

[1] A. V. Masloboev, “Modeli i algoritmy vzaimodeistviya programmnykh agentov v virtualnoi biznes-srede razvitiya innovatsii”, Vestnik MGTU, 12:2 (2009), 224–234

[2] I. A. Pshenokova, V. A. Denisenko, Z. A. Sundukov, D. G. Makoeva, O. V. Nagoeva, V. V. Bova, “Razrabotka sistemy videoraspoznavaniya graficheskikh obrazov na osnove multiagentnykh rekursivnykh kognitivnykh arkhitektur”, Inzhenernyi vestnik Dona, 43:4 (43) (2016), 74

[3] A. A. Kulinich, “Model komandnoi raboty agentov s BDI arkhitekturoi”, Tr. konf., 15-ya natsionalnaya konferentsiya po iskusstvennomu intellektu KII-2016, v. 2, Universum, Smolensk, 2016, 344–352 (3-7 oktyabrya 2016 g.)

[4] Alla G. Kravets, Andrey D. Kravets, Sergey A. Fomenkov, Valeriy A. Kamaev, “Multi-agent systems componentbased generator: development approach”, IADIS Applied Computing 2013 conference, Forth Worth, Texas, USA, 2013

[5] Y. Prokopchuk, “Cognitive model of activity Inductive modeling of complex systems”, IRTC ITS NAS and MES of Ukraine Publ, 4 (2012), 177–188, Kyiv

[6] J. McCarthy, Situations, Actions and Causal Laws Stanford Artificial Intelligence Project Memo 2 (13.06.2017) http://www.dtic.mil/dtic/tr/fulltext/u2/785031.pdf

[7] R. E. Fikes, N. J. Nilsson, “STRIPS A New Approach to the Application of Theorem Proving to Problem Solving”, IJCAI'71, 608–620

[8] M. Ghallab, A. Howe, C. Knobloch, D. McDermott, A. Ram, M. Veloso, D. Weld, “Wilkins D PDDL The Planning Domain Definition Language (version 1.2)”, AIPS'98, 1998

[9] A. N. Dukkardt, L. Z. Shautsukova, V. V. Bova, “Ispolzovanie modelei kollektivnogo povedeniya dlya resheniya zadach raspredelennogo iskusstvennogo intellekta”, Izvestiya Kabardino-Balkarskogo nauchnogo tsentra RAN, 2013, no. 4 (54), 14–20

[10] V. V. Bova, M. I. Anchekov, O. V. Nagoeva, “Kognitivnaya arkhitektura raspredelennykh problemno-orientirovannykh informatsionnykh sistem na osnove multiagentnogo podkhoda”, Informatika, vychislitelnaya tekhnika i inzhenernoe obrazovanie, 2016, no. 2 (26), 29–41 | MR

[11] V. V. Bova, E. V. Kuliev, D. V. Leschanov, “Kontseptualnye osnovy avtomatizirovannoi obrabotki nestrukturirovannoi informatsii v sistemakh upravleniya problemnoorientirovannymi znaniyami”, Trudy kongressa po intellektualnym sistemam i informatsionnym tekhnologiyam “IS'17”, 2017, 341–350

[12] Yu. S. Starkova, N. V. Kulieva, Yu. S. Starkova, Yu. A. Kravchenko, “Kognitivnaya arkhitektura agentov”, Programmnaya inzheneriya: metody i tekhnologii razrabotki informatsionno-vychislitelnykh sistem (PIIVS-2016), 2016, 307–310