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News of the Kabardin-Balkar scientific center of RAS, 2015, Issue 5, Pages 31–37
(Mi izkab295)
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INFORMATICS
Epistemological models
and systems of the mobile robotics
Z. V. Nagoev, O. V. Nagoeva, V. A. Denisenko, A. M. Ksalov, Yu. Kh. Khamukov Institute of Computer Science and Problems of Regional Management of KBSC
of the Russian Academy of Sciences,
360000, KBR, Nalchik, 37-a, I. Armand street
Abstract:
The problem of knowledge extraction from unstructured data multimodal flows, the relevance of
which is determined by the necessity of epistemological models for intelligent robotics systems and by
absence of a general solution to this problem today, is considered. The main objective of the study is to
analyze the literature and the state of affairs in the field of autonomous knowledge extraction based on
learning. Conclusions and recommendations on the most promising areas of research in the field of autonomous construction of epistemological models of mobile robotic systems are formulated.
Keywords:
knowledge extraction, multimodal data, unstructured data flows, multi-agent cognitive
architectures.
Received: 02.09.2015
Citation:
Z. V. Nagoev, O. V. Nagoeva, V. A. Denisenko, A. M. Ksalov, Yu. Kh. Khamukov, “Epistemological models
and systems of the mobile robotics”, News of the Kabardin-Balkar scientific center of RAS, 2015, no. 5, 31–37
Linking options:
https://www.mathnet.ru/eng/izkab295 https://www.mathnet.ru/eng/izkab/y2015/i5/p31
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Abstract page: | 54 | Full-text PDF : | 56 | References: | 16 |
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