Adaptation has long been considered as the Achilles' heel of case-based reasoning since it requires some domain-specific knowledge that is difficult to acquire. In this paper, two strategies are combined in order to reduce the knowledge engineering cost induced by the adaptation knowledge (AK) acquisition task: AK is learned from the case base by the means of knowledge discovery techniques, and the AK acquisition sessions are opportunistically triggered, i.e., at problem-solving time. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Badra, F., Cordier, A., & Lieber, J. (2009). Opportunistic adaptation knowledge discovery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5650 LNAI, pp. 60–74). https://doi.org/10.1007/978-3-642-02998-1_6
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