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News of the Kabardin-Balkar scientific center of RAS, 2015, Issue 5, Pages 31–37 (Mi izkab295)  

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
References:
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
Bibliographic databases:
Document Type: Article
UDC: 004.89
Language: Russian
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
Citation in format AMSBIB
\Bibitem{NagNagDen15}
\by Z.~V.~Nagoev, O.~V.~Nagoeva, V.~A.~Denisenko, A.~M.~Ksalov, Yu.~Kh.~Khamukov
\paper Epistemological models
and systems of the mobile robotics
\jour News of the Kabardin-Balkar scientific center of RAS
\yr 2015
\issue 5
\pages 31--37
\mathnet{http://mi.mathnet.ru/izkab295}
\elib{https://elibrary.ru/item.asp?id=24318593}
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