Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/51286
Title: Robot self-awareness: Formulation of hypotheses based on the discovered regularities
Authors: Gorbenko, A.
Popov, V.
Issue Date: 2012
Publisher: Springer Science and Business Media LLC
Citation: Gorbenko A. Robot self-awareness: Formulation of hypotheses based on the discovered regularities / Anna Gorbenko, Vladimir Popov // Applied Mathematical Sciences. — 2012. — Vol. 6. — № 129-132. — P. 6583-6585.
Abstract: In this paper, we consider robot self-awareness from the point of view of temporal relation based data mining. In particular, we propose an approach to formulation of hypotheses based on the discovered regularities.
Keywords: ROBOT
ROBOT SELF-AWARENESS
THE FARTHEST STRING PROBLEM
URI: http://elar.urfu.ru/handle/10995/51286
SCOPUS ID: 84869746012
PURE ID: 1070906
ISSN: 1312-885X
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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