지능형 에이전트를 이용한 자동협상전략 수립 시스템

• 영문명: An Automated Negotiation System Using Intelligent Agents
• 발행기관: 한국산업경영시스템학회
• 저자명: 박세진(Se-Jin Park) 권익현(Ick-Hyun Kwon) 신현준(Hyun-Joon Shin)
• 간행물 정보: 『산업경영시스템학회지』제29권 제2호, 20~30쪽, 전체 11쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2006.06.01

영문 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.

목차

영어 초록
1. 서론
2. 본론
3. 결론
참고문헌

키워드

Intelligent Agent Automated Negotiation Framework Data Mining