Case Adaptation with Qualitative Algebras
This work addresses adaptation challenges in case-based reasoning systems for domains like cooking, but it appears incremental as it builds on existing qualitative algebra methods.
The paper tackles the problem of adapting spatial or temporal cases in case-based reasoning by using qualitative algebras for knowledge representation and belief revision to repair inconsistencies, with a temporal example from the cooking domain provided.
This paper proposes an approach for the adaptation of spatial or temporal cases in a case-based reasoning system. Qualitative algebras are used as spatial and temporal knowledge representation languages. The intuition behind this adaptation approach is to apply a substitution and then repair potential inconsistencies, thanks to belief revision on qualitative algebras. A temporal example from the cooking domain is given. (The paper on which this extended abstract is based was the recipient of the best paper award of the 2012 International Conference on Case-Based Reasoning.)