Using case provenance to propagate feedback to cases and adaptations

Abstract

Case provenance concerns how cases came into being in a case-based reasoning system. Case provenance information has been proposed as a resource to exploit for tasks such as guiding case-based maintenance and estimating case confidence [1]. The paper presents a new bidirectional provenance-based method for propagating case confidence, examines when provenance-based maintenance is likely to be useful, and expands the application of provenance-based methods to a new task: assessing the quality of adaptation rules. The paper demonstrates the application of the resulting quality estimates to rule maintenance and prediction of solution quality. © Springer-Verlag Berlin Heidelberg 2008.