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ISSN : 2005-0461(Print)
ISSN : 2287-7975(Online)
Journal of Society of Korea Industrial and Systems Engineering Vol.29 No.2 pp.20-30

지능형 에이전트를 이용한 자동협상전략 수립 시스템

박세진*, 권익현**, 신현준***
i2 테크놀로지 코리아*, 고려대학교 정보통신기술공동연구소**, 상명대학교 산업정보시스템공학과***

An Automated Negotiation System Using Intelligent Agents

Hyun-Joon Shin, Park Se-Jin *, Kwon Ick-Hyun **
Dept. of Industrial Information and Systems Engineering, Sangmyung University***
i2 Technology Korea, Inc.*,
Research Institute for Information and Communication Technology, Korea University**


Due to recent growing interest in autonomous software agents and their potential application in areas such as electronic commerce, the autonomous negotiation become more important. Evidence from both theoretical analysis and observations of human interactions suggests that if decision makers have prior information on opponents and furthermore learn the behaviors of other agents from interaction, the overall payoff would increase. We propose a new methodology for a strategy finding process using data mining in autonomous negotiation system; ANSIA(Autonomous Negotiation System using Intelligent Agent). ANSIA is a strategy based negotiation system. The framework of ANSIA consists of three component layers; 1) search agent layer, 2) data mining agent layer and 3) negotiation agent layer. ANSIA is motivated by providing a computational framework for negotiation and by defining a strategy finding model with an autonomous negotiation process.