사례 및 규칙기반추론을 이용한 상품판매형 전자상거래 에이전트에 관한 연구

A Study on Sales Agent for Electronic Commerce using Case-Based  easoning and Rule-Based Reasoning

&nbsp;&nbsp;Electronic commerce system must provide convenient interface, easy and fast searching function, and production information satisfying customers. To do this, many kinds of studies are being advanced actively about electronic commerce support system using intelligent agent technology.<BR>&nbsp;&nbsp;This paper suggests electronic commerce system using intelligent multi agent based on knowledge. The presented system is a hybrid agent system which provides production information satisfying customer&quot;s needs using both case-based reasoning and rule-based reasoning. In this paper we designed prototype system and analyzed it.<BR>&nbsp;&nbsp;This system can find production information which is suitable for customer&quot;s needs through learning of case-based reasoning method according to customer&quot;s age, occupation, scholarship, sex, and interesting field. If a degree of similarity for given problem is equal or not suitable, or if cases are not in case base, this system can provide the best suitable production information to customers by using rule-based reasoning according to price or amount of sales.