Geodesic
The simulation modeling of the ambient intelligence systems based on self-organizing multi-agent recursive cognitive architecture
News of the Kabardin-Balkar scientific center of RAS, no. 3 (2018), pp. 21-27

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This article provides a simulation model of the ambient intelligence system based on the integra-tion of unstructured multimodal data for decision-making and management of heterogeneous sets of intelligent agents. For modeling, we propose to apply methods of cognitive representation of knowledge and situational analysis on the basis of self-organizing multi-agent recursive cognitive architecture.
Keywords: simulation model, cognitive architecture, multi-agent systems, decision-making and management
Mots-clés : intellectual agent, ambient intelligence. 
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     author = {I. A. Pshenokova},
     title = {The simulation modeling of the ambient intelligence systems based on self-organizing multi-agent recursive cognitive architecture},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {21--27},
     publisher = {mathdoc},
     number = {3},
     year = {2018},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2018_3_a2/}
}
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I. A. Pshenokova. The simulation modeling of the ambient intelligence systems based on self-organizing multi-agent recursive cognitive architecture. News of the Kabardin-Balkar scientific center of RAS, no. 3 (2018), pp. 21-27. http://geodesic.mathdoc.fr/item/IZKAB_2018_3_a2/