Betsy.Herk@A.CS.CMU.EDU (02/20/86)
Speaker: Allen Ginsberg, Rutgers University Date: Wednesday, March 5 Time: 11:30 - 1:00 Place: 5409 WeH Title: The automatic refinement of expert system knowledge bases Knowledge base refinement involves the generation, testing, and possible incorporation of plausible refinements to the rules in a knowledge base with the intention of thereby improving the empirical adequacy of an expert system, i.e., its ability to correctly diagnose or classify the cases in its domain of expertise. The first part of the talk is a theoretical explication of the basic concepts involved in knowledge base refinement -- e.g., a precise analysis of one sense in which a refinement may be said to be plausible is given -- and includes an overview of the strategic goals that must be addressed by any knowledge base refinement system. As an illustration of the general theory, the second part of the talk focuses on the SEEK2 system for automatic knowledge base refinement. In the last part of the talk a brief discussion of a metalanguage for the experimental design of refinement systems is given. -------