Geodesic
Epistemological models
News of the Kabardin-Balkar scientific center of RAS, no. 5 (2015), pp. 31-37

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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, unstructured data flows, multi-agent cognitive architectures.
Mots-clés : multimodal data 
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     title = {Epistemological models},
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Z. V. Nagoev; O. V. Nagoeva; V. A. Denisenko; A. M. Ksalov; Yu. Kh. Khamukov. Epistemological models. News of the Kabardin-Balkar scientific center of RAS, no. 5 (2015), pp. 31-37. http://geodesic.mathdoc.fr/item/IZKAB_2015_5_a4/