Explanation-Driven Case-Based Reasoning

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Explanation-Driven Case-Based Reasoning (1994)

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by Agnar Aamodt

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213 - 31 self

BibTeX

@MISC{Aamodt94explanation-drivencase-based,
    author = {Agnar Aamodt},
    title = {Explanation-Driven Case-Based Reasoning},
    year = {1994}
}

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Abstract

. Problem solving in weak theory domains should compensate for the lack of strong theories by combining the various other knowledge types involved. Such methods should be able to effectively combine general domain knowledge with specific case knowledge. A method is described that utilises a presumably extensive and dense model of general domain knowledge as explanatory support for case-based problem solving and learning. A generic reasoning method - captured in what is called the ACTIVATE-EXPLAIN-FOCUS cycle - is able to utilise a rich knowledge model in producing contextdependent explanations. A specialisation of this method for each of the main subprocesses of case-based reasoning is presented, and illustrated with examples. 1 Introduction A growing part of the AI community is concerned with approaches that integrate several types of knowledge and reasoning methods (see for example [David et. al., 1993]). Although case-based reasoning is a rather new addition to the curre...

Keyphrases

explanation-driven case-based reasoning general domain knowledge case-based reasoning weak theory domain explanatory support generic reasoning method activate-explain-focus cycle dense model case-based problem solving rich knowledge model various knowledge type contextdependent explanation specific case knowledge several type example david strong theory main subprocesses ai community new addition

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