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Efficient Methods for Multi-agent Multi-issue Negotiation: Allocating Resources

  • Mengxiao Wu
  • Mathijs de Weerdt
  • Han La Poutré
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5925)

Abstract

In this paper, we present an automated multi-agent multi-issue negotiation solution to solve a resource allocation problem. We use a multilateral negotiation model, by which three agents bid sequentially in consecutive rounds till some deadline. Two issues are bundled and negotiated concurrently, so win-win opportunities can be generated as trade-offs exist between issues. We develop negotiation strategies of the agents under an incomplete information setting. The strategies are composed of a Pareto-optimal-search method and concession strategies. An important technical contribution of this paper lies in the development of the Pareto-optimal-search method for three-agent multilateral negotiation. Moreover, we present the identification of agreements and Pareto-optimal outcomes achieved by our methods in mathematical proof. We show through computer experiments that using the tractable heuristic of Pareto-optimal-search combined with well-designed concession strategies by agents results in (near) Pareto-optimal outcomes.

Keywords

Utility Function Utility Level Indifference Curve Negotiation Strategy Negotiation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mengxiao Wu
    • 1
  • Mathijs de Weerdt
    • 2
  • Han La Poutré
    • 1
  1. 1.Centre for Mathematics and Computer Science (CWI)AmsterdamThe Netherlands
  2. 2.Delft University of TechnologyDelftThe Netherlands

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