지능형 에이전트를 이용한 자동협상전략 수립 시스템

An Automated Negotiation System Using Intelligent Agents

  • 박세진 (i2 테크놀로지 코리아) ;
  • 권익현 (고려대학교 정보통신기술공동연구소) ;
  • 신현준 (상명대학교 산업정보시스템공학과)
  • Park, Se-Jin (i2 Technology Korea, Inc.) ;
  • Kwon, Ick-Hyun (Research Institute for Information and Communication Technology, Korea University) ;
  • Shin, Hyun-Joon (Dept. of Industrial Information and Systems Engineering, Sangmyung University)
  • 발행 : 2006.06.30

초록

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.

키워드

참고문헌

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