Intelligent Case-Authoring Support in Casemaker-2.

CaseMaker is an interactive environment for intelligent case-authoring support in CREST, a case-based reasoner for estimation tasks, in which the selection of cases for addition to a case library is guided by empirical evaluation of the coverage contributions of candidate cases. I present a new version of the environment called CaseMaker-2 that is designed to support case authoring more effectively by eliminating a previous requirement for the evaluation of candidate cases to be repeated following the addition of a new case to the library. A key role in the approach is played by an algorithm for dynamic partitioning of the space of uncovered cases in such a way that the partition containing a given case represents the minimum additional coverage provided by its addition to the case library. [ABSTRACT FROM AUTHOR]