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11

CCIA
2005
Springer

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Using symbolic descriptions to explain similarity on CBR

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Using symbolic descriptions to explain similarity on CBR

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The explanation of the results is a key point of automatic problem solvers. CBR systems solve a new problem by assessing its similarity with already solved cases and they commonly show the user the set of cases that have been assessed as the most similar to the new problem. Using the notion of symbolic similarity, our proposal is to show the user a symbolic description that makes explicit what the new problem has in common with the retrieved cases. In particular, we use the notion of anti-uniﬁcation to build this symbolic description. Keywords. case-based reasoning, anti-uniﬁcation, symbolic similarity

Eva Armengol, Enric Plaza

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Added	26 Jun 2010
Updated	26 Jun 2010
Type	Conference
Year	2005
Where	CCIA
Authors	Eva Armengol, Enric Plaza

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