人工知能
Online ISSN : 2435-8614
Print ISSN : 2188-2266
人工知能学会誌(1986~2013, Print ISSN:0912-8085)
設計例の理解に基づく知識獲得インタビューシステム
松田 勝志新名 博溝口 理一郎
著者情報
解説誌・一般情報誌 フリー

1992 年 7 巻 6 号 p. 1038-1048

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Knowledge acquisition is known as the "bottleneck" of expert system construction, because of its difficulties. Recently, the importance of knowledge acquisition has been recognized, thus it has become a focus of much research. Ideally, knowledge acquisition systems should acquire not only the experts' domain knowledge but also their heuristics. Furthermore, such expertise should be elicited with less burden of the expert. Interview is an effective technique of acquring knowledge. But systems using the technique produce questions that are lengthy, troublesome and difficult to answer for experts. Therefore, to reduce the redundancies of such questions, we propose a knowledge acquisition technique which integrates the method of learning from examples using EBL framework and the method of acquiring knowledge with interview. In this paper, we focus our attention on the above two acquiring methods and their integration. To realize the idea, we choose oil hydraulic system design as the task domain, because it is easy to understand and prepare its related domain knowledge. We have completed implementation of the learning module based on EBL. First, our basic idea is stated clearly. And overview of the system architecture is presented. Then behavior of the learning module is illustrated with some concrete examples of acquired design knowledge. Two interactions conducted by the interview module are also presented.

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© 1992 人工知能学会
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