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Summary: In S.Wess, K.Althoff, M.Richter (eds.): Topics in case-based reasoning. Springer Verlag, 1994, pp 274-288.
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Explanation-Driven Case-Based Reasoning
Agnar Aamodt
University of Trondheim, Department of Informatics
N-7055 Dragvoll, Norway
agnar@ifi.unit.no
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 context-
dependent 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
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