Ryu Keun Ho, Shin Jeong Hoon, Oh Myeon Ryoon, Oh Kwang Jin, Rhee Yang Weon, Kim Young Hoon

The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 12, pp. 3010-3022, Dec. 1997
10.3745/KIPSTE.1997.4.12.3010,   PDF Download:

Abstract

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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