A Generic Framework for Automated Multi-attribute Negotiation

被引:0
|
作者
Guoming Lai
Katia Sycara
机构
[1] Carnegie Mellon University,Tepper School of Business
[2] Carnegie Mellon University,Robotics Institute
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关键词
Automated multi-attribute negotiation; Incomplete information; Pareto optimality; Mediating; Win–win;
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学科分类号
摘要
Agents in a negotiation may have to negotiate multiple issues simultaneously. Automated multi-attribute negotiation provides an important mechanism for distributed decision makers to reach agreements on multiple issues. Moreover, it also furnishes the opportunity to reach “win–win” solutions. In this paper, we first provide a survey that synthesizes the research on multi-attribute negotiation. We discuss the limitations of the existing research and conclude that three key issues need further study: incomplete information, Pareto optimality, and tractability. We then present a generic framework for automated multi-attribute negotiation with two new mechanisms that address the above issues. Finally, we discuss the challenges and directions for future work.
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页码:169 / 187
页数:18
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