TheNegotiator: A Dynamic Strategy for Bilateral Negotiations with Time-Based Discounts

  • A. S. Y. Dirkzwager
  • M. J. C. Hendrikx
  • J. R. De Ruiter
Part of the Studies in Computational Intelligence book series (SCI, volume 435)

Abstract

Recently developed automated negotiation agents are starting to outperform humans in multiple types of negotiation. There has been a large body of research focusing on the design of negotiation strategies. However, only few authors have addressed the challenge of time-based discounts. In the ANAC2011, negotiation agents had to compete on various domains both with and without time-based discounts. This work presents the strategy of one of the finalists: TheNegotiator. Our contribution to the field of bilateral negotiation is threefold; First, we present the negotiation strategy of TheNegotiator; Second, we analyze the strategy using various quality measures; Finally, we discuss how the agent could be improved.

Keywords

Multiagent System Bidding Strategy Acceptance Strategy Negotiation Strategy Dynamic Strategy 
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 2013

Authors and Affiliations

  • A. S. Y. Dirkzwager
    • 1
  • M. J. C. Hendrikx
    • 1
  • J. R. De Ruiter
    • 1
  1. 1.Man-Machine Interaction GroupDelft University of TechnologyDelftThe Netherlands

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