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Abstract: . Case-based problem solving can be significantly improved by applying domain knowledge (in opposition to problem solving knowledge) , which can be acquired with reasonable effort, to derive explanations of the correctness of a case. Such explanations, constructed on several levels of abstraction, can be employed as the basis for similarity assessment as well as for adaptation by solution refinement. The general approach for explanation-based similarity can be applied to different real world... (Update)
Context of citations to this paper: More
.... that problem solving knowledge is considerably more difficult to acquire than domain knowledge (see arguments of Bergmann et al. [9]) this means that DA is radically different from other approaches to CBR from the perspective of knowledge acquisition. This is consistent...
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BibTeX entry: (Update)
Bergmann R., Pews G., "Explanation-based similarity for case retrieval and adaptation and its application to diagnosis and planning tasks", in Working papers of European Workshop on CBR, Universität Kaiserslautern SEKI Report SR-93-23, pp301-306, 1993. http://citeseer.ist.psu.edu/154319.html More
@misc{ bergmann93explanationbased,
author = "R. Bergmann and G. Pews",
title = "Explanation-based similarity for case retrieval and adaptation and its
application to diagnosis and planning tasks",
text = "Bergmann R., Pews G., Explanation-based similarity for case retrieval and
adaptation and its application to diagnosis and planning tasks, in Working
papers of European Workshop on CBR, Universität Kaiserslautern SEKI Report
SR-93-23, pp301-306, 1993.",
year = "1993",
url = "citeseer.ist.psu.edu/154319.html" }
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