A Generic Framework for Automated Multi-attribute Negotiation

Guoming Lai () and Katia Sycara ()
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Guoming Lai: Carnegie Mellon University
Katia Sycara: Carnegie Mellon University

Group Decision and Negotiation, 2009, vol. 18, issue 2, No 4, 169-187

Abstract: 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.

Keywords: Automated multi-attribute negotiation; Incomplete information; Pareto optimality; Mediating; Win–win (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (9)

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DOI: 10.1007/s10726-008-9119-9

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