ルールベース推論と事例ベース推論の統合化の一方法

概要

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In business expert systems for examination tasks, advice tasks and so on, not only rules but cases are necessary for decision-making. In a conventional way, rules are treated by the rule-based reasoning (RBR) and cases are treated by the case-based reasoning (CBR). However, both reasoning paradigms are separated and to use them together is difficult. In this paper, we propose an method for integrating both reasoning paradigms. The proposed method has following characteristics : (1) Knowledge representation and processing method of knowledge for CBR, similar with RBR. (2) Dynamic selection of the relevant reasoning paradigm according to the working memory (WM). (3) Reasoning method which starts form arbitary WM and produces plural solutions if there are any. Through devolopment and test of intelligent form-fillng front-end utilizing the proposed integrating method, it is demonstrated that knowledge including rules and usage of cases is defined easily, that a relevant paradigm is selected according to the WM, and that it supports users' decision-making by proposing alternatives.
社団法人人工知能学会の論文
1992-11-01