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A Generic Framework for Automated Multi-attribute Negotiation
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AI
DOI：10.1007/s10726-008-9119-9.png)
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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.
Keyword:
Automated multi-attribute negotiation
Incomplete information
Pareto optimality
Mediating
Win-win
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2.5
论文数:
1.3K
被引数:
1.4K
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