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An Exception Handling of Rule-Based Reasoning Using Case-Based Reasoning

Research paper by Mal Rey Lee

Indexed on: 01 Nov '02Published on: 01 Nov '02Published in: Journal of Intelligent & Robotic Systems



Abstract

In this paper, we propose the CCAR (Combining Case-based And Rule-based reasoning) model for an exception handling of Rule-based Reasoning using Case-based Reasoning. The central idea of the model proposed in this paper is to represent the exception of a rule as a case, and to utilize the case for a solution to a problem, and then to search the case memory to retrieve a case which violates the conclusion of a rule. If the similarity between a target problem and the selected case is high, the conclusion of a case is applied. Otherwise, the conclusion of rule-based reasoning is applied.