A Machine Learning Approach to Automated NegotiationOA
A Machine Learning Approach to Automated Negotiation
Automated negotiation between two competitive agents is analyzed, and a multi-issue negotiation model based on machine learning, time belief, offer belief and state-action pair expected Q value is developed. Unlike the widely…查看全部>>
Automated negotiation between two competitive agents is analyzed, and a multi-issue negotiation model based on machine learning, time belief, offer belief and state-action pair expected Q value is developed. Unlike the widely used approaches such as game theory approach, heuristic approach and argumentation approach, This paper uses a machine learning method to compute agents' average Q values in each negotiation stage. The delayed reward is used to generate…查看全部>>
Zhang Huaxiang(张化祥);Zhang Liang;Huang Shangteng;Ma Fanyuan
Information and Management School, Shandong Normal University, Jinan 250014, P.R.ChinaDepartment of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.ChinaDepartment of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.ChinaDepartment of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030, P.R.China
信息技术与安全科学
agentnegotiationmachine learning
agentnegotiationmachine learning
《高技术通讯（英文版）》 2004 (3)
61-65,5
Supported by the High Technology Research and Development Programme of China.
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