Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Case-Bases Incorporating Scheduling Constraint Dimensions - Experiences in Nurse Rostering
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
Similarity Measures for Object-Oriented Case Representations
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
On the use of CBR in optimisation problems such as the TSP
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Similarity Metrics: A Formal Unification of Cardinal and Non-Cardinal Similarity Measures
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
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Recent Case-Based Reasoning research has begun to refocus attention on the problem of automatic adaptation of the retrieved case to give a fuller solution to the new problem. Such work has highlighted problems with the usefulness of similarity assessment of cases where adaptation is involved. As a response to this, methods of case selection are evolving that take adaptation into account. This current work looks more closely at the relationship between selection and adaptation. It considers experimental evidence considering adaptation of multiple cases for one problem. It argues that selection of the best case after adaptation will often make more efficient use of case knowledge than any attempt to pre-select a single case for adaptation.