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      • 추론엔진을 위한 ECBM의 설계 구현

        류근호(Ryu Keun Ho),신정훈(Shin Jeong Hoon),오명륜(Oh Myeon Ryoon),오광진(Oh Kwang Jin),이양원(Rhee Yang Weon),김영훈(Kim Young Hoon) 한국정보처리학회 1997 정보처리학회논문지 Vol.4 No.12

        Expert system is one of AI area which was came out at the end of 1970s. It simulates the human's way of thinking to give solution of problem in many applications. Most expert system consists of many components such as inference engine, knowledge base, and so on. Especially the performance of expert system depends on the control of enfficiency of inference engine. Inference engine has to get features;tirst, if possible to minimize restrictions when the knowledge base is constructed second, it has to serve various kinds of inferencing methods. In this paper, we design and implement the inference engine which is able to support the general functions to knowledge domain and inferencing method. For the purpose, forward chaining. backward chaining, and direct chaining was employed as an inferencing method in order to be able to be used by user request selectively. Also we not only selected production system which makes one ease staradization and modulation to obtain knowledges in target domain, but also constructed knowledge base by means of Extended Clause Bit Metrics(ECBM). Finally, the performance evaluation of inference engine between Rete pattern matching and ECBM has been done.

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