Verification and validation of case-based systems

摘要

Verification and validation of artificially intelligent systems has been the focus of substantial recent research. However, little attention has been given in the literature to verification and validation for cased-based systems. The unique structure of cased-based systems is used to raised new validation issues, develop new approaches to generating comparative solutions for validation purposes, and investigate new approaches for examining the quality of the case base. In addition, this article presents new statistical and structural approaches designed to exploit unique aspects of case-based reasoning for verification purposes.