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.
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