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 (CA) acquisition task: CA is learned from the case base by the means of knowledge discovery techniques, and the CA acquisition sessions are opportunistically triggered, i.e., at problem-solving time.
@article{arxiv.0912.0132,
title = {Opportunistic Adaptation Knowledge Discovery},
author = {Fadi Badra and Amélie Cordier and Jean Lieber},
journal= {arXiv preprint arXiv:0912.0132},
year = {2009}
}