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Adaptive Similarity Assessment for Case-Based Explanation (1995)
| Venue: | INTERNATIONAL JOURNAL OF EXPERT SYSTEMS RESEARCH AND APPLICATIONS |
| Citations: | 10 - 4 self |
BibTeX
@ARTICLE{Leake95adaptivesimilarity,
author = {David B. Leake},
title = {Adaptive Similarity Assessment for Case-Based Explanation},
journal = {INTERNATIONAL JOURNAL OF EXPERT SYSTEMS RESEARCH AND APPLICATIONS},
year = {1995},
volume = {8},
number = {2},
pages = {165--194}
}
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Abstract
Guiding the generation of abductive explanations is a difficult problem. Applying casebased reasoning to abductive explanation generation---generating new explanations by retrieving and adapting explanations for prior episodes---offers the benefit of re-using successful explanatory reasoning but raises new issues concerning how to perform similarity assessment to judge the relevance of prior explanations to new situations. Similarity assessment affects two points in the case-based explanation process: deciding which explanations to retrieve and evaluating the retrieved candidates. We address the problem of identifying similar explanations to retrieve by basing that similarity assessment on a categorization of anomaly types. We show that the problem of evaluating retrieved candidate explanations is often impeded by incomplete information about the situation to be explained, and address that problem with a novel similarity assessment method which we call constructive similarity assessme...
Keyphrases
adaptive similarity assessment case-based explanation similarity assessment abductive explanation re-using successful explanatory prior explanation abductive explanation generation retrieved candidate explanation novel similarity assessment method similar explanation new issue incomplete information constructive similarity assessme anomaly type new explanation prior episode new situation similarity assessment affect case-based explanation process difficult problem
