IAMhaggler: A Negotiation Agent for Complex Environments

  • Colin R. Williams
  • Valentin Robu
  • Enrico H. Gerding
  • Nicholas R. Jennings
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 383)

Abstract

We describe the strategy used by our agent, IAMhaggler, which finished in third place in the 2010 Automated Negotiating Agent Competition. It uses a concession strategy to determine the utility level at which to make offers. This concession strategy uses a principled approach which considers the offers made by the opponent. It then uses a Pareto-search algorithm combined with Bayesian learning in order to generate a multi-issue offer with a specific utility as given by its concession strategy.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Colin R. Williams
    • 1
  • Valentin Robu
    • 1
  • Enrico H. Gerding
    • 1
  • Nicholas R. Jennings
    • 1
  1. 1.School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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