A Generic Framework for Automated Multi-attribute Negotiation |
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Authors: | Guoming Lai Katia Sycara |
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Institution: | (1) Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA;(2) Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA |
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Abstract: | 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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Keywords: | Automated multi-attribute negotiation Incomplete information Pareto optimality Mediating Win– win |
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