CASE-BASED REASONING

Abstract

Case-based reasoning (CBR) is an alternative to traditional rule-based expert systems approaches. The fact that rules can be incomplete and must be assembled through a time-consuming knowledge acquisition process has been a major bottleneck in the usefulness of rule-based methods for configuring information systems. Case-based reasoning systems, by contrast, access problem-solving experiences or cases for the next problem-solving situation. The CBR process, some commercial shells, and CBR's use to augment expert systems applications are discussed.

Additional information

Notes on contributors

Fritz H. Grupe

FRITZ H. GRUPIL is an associate professor in the department of accounting and computer information systems at the University of Nevada, Reno.