Multi-issue automated negotiations using agents

被引：10
|
作者：
Chari, Kaushal [1 ]
Agrawal, Manish [1 ]
机构：
[1] Univ S Florida, Dept Informat Syst & Decision Sci, Tampa, FL 33620 USA
来源：
INFORMS JOURNAL ON COMPUTING | 2007年 / 19卷 / 04期
关键词：
bargaining; decision making; software; heuristic;
D O I：
10.1287/ijoc.1060.0203
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Software agents can perform effectively as negotiators in automated negotiation settings. We present a model for software agents that can automate negotiations by implementing a multi-issue learning heuristic that allows agents to learn from the bidding behavior of opponents. The performance of agents is evaluated using an experimental study involving human subjects. The results indicate that software agents can act as effective surrogates of human negotiators under some circumstances.
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页码：588 / 595
页数：8
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