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Quantitative measures for adaptive object-oriented world modeling

: Kuwertz, Achim; Beyerer, Jürgen

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Beierle, Christoph (Ed.):
4th Workshop on Dynamics of Knowledge and Belief, DKB-2013 : Workshop at the 36th Annual German Conference on Artificial Intelligence, KI-2013, Koblenz, Germany, September 17, 2013; Proceedings
Hagen: FernUniversität Hagen, 2013 (Informatik-Berichte 368)
Workshop on Dynamics of Knowledge and Belief (DKB) <4, 2013, Koblenz>
German Conference on Artificial Intelligence (KI) <36, 2013, Koblenz>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()

Adaptive knowledge modeling is an approach to extend the abilities of the Object-Oriented World Model, a system for environment representation, for allowing it to cope with open environments in which unforeseen entities can occur. In previous work, adaptive knowledge management was introduced and a quantitative measure rating the quality of domain models was presented. In this contribution, the approach is extended and further measures, designed for identifying points of necessary change in knowledge models, are proposed. In addition, an approach for adapting the knowledge model based on the identified points of change is presented.