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News of the Kabardin-Balkar scientific center of RAS, 2018, Issue 3, Pages 21–27
(Mi izkab47)
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This article is cited in 1 scientific paper (total in 1 paper)
COMPUTER SCIENCE. CALCULATION EQUIPMENT. MANAGEMENT
The simulation modeling of the ambient intelligence systems based on self-organizing multi-agent recursive cognitive architecture
I. A. Pshenokova Institute of Computer Science and Problems of Regional Management –
branch of Federal public budgetary scientific establishment "Federal scientific center
"Kabardin-Balkar Scientific Center of the Russian Academy of Sciences",
360000, KBR, Nalchik, 37-a, I. Armand St.
Abstract:
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, intellectual agent, decision-making and management, ambient intelligence.
Received: 04.06.2018
Citation:
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, 2018, no. 3, 21–27
Linking options:
https://www.mathnet.ru/eng/izkab47 https://www.mathnet.ru/eng/izkab/y2018/i3/p21
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Abstract page: | 69 | Full-text PDF : | 185 | References: | 15 |
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