An Agent Negotiation Skill Algorithm Based on Interactive Micro-adjustment of Proposal in Electronic Transactions
Negotiation strategy is an important research branch of agent-based automatic negotiation. Under the background of bilateral multi-issues negotiation, a novel negotiation skill algorithm by interactive micro-adjustment and multi-rounds approximation is proposed, which classifies both parties proposal issues into two divisions-interest point set and disinterest point set, and combined with the historical experience data conducts in-depth negotiation process according to the composite relationship of both interest level of consistency proposal issues and difference of issue values. At the same time concern degree of opponent about proposal issues is given and updated by a fuzzy theory-based prediction function, which can realize the purpose of learning negotiation opponent. Finally, the application and analysis of the proposed negotiation skill algorithm are demonstrated by a numerical experiment.
software agent negotiation skill algorithm interactive micro-adjustment interest level fuzzy prediction
Tiejun Gu Bingyong Tang Yi Li
Glorious Sun School of Business and Management Donghua University Shanghai, China Information Security System Testing Lab The Third Research Institute of Ministry of Public Security
国际会议
2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)
太原
英文
475-478
2009-07-10（万方平台首次上网日期，不代表论文的发表时间）