The Fourth Automated Negotiation Competition

  • Kobi (Ya’akov) Gal
  • Litan Ilany
Part of the Studies in Computational Intelligence book series (SCI, volume 596)


In May 2013, we organized the Forth International Automated Negotiating Agents Competition (ANAC 2013) in conjunction with AAMAS 2013. ANAC is an international competition that challenges researchers to develop a successful automated negotiator for scenarios where there is incomplete information about the opponent. One of the goals of this competition is to help steer the research in the area of bilateral multi-issue negotiations, and to encourage the design of generic negotiating agents that are able to operate in a variety of scenarios. This chapter describes the participating agents and the setup of the tournament, including the different negotiation scenarios that were used in the competition. We report on the results of the qualifying and final round of the tournament.


Automated negotiation competition Multi-issue negotiation 


  1. 1.
    Coehoorn, R.M., Jennings, N.R.: Learning on opponent’s preferences to make effective multi-issue negotiation trade-offs. In: Proceedings of EC (2004)Google Scholar
  2. 2.
    Jonker, C.M., Robu, V., Treur, J.: An agent architecture for multi-attribute negotiation using incomplete preference information. Auton. Agents Multi-Agent Syst. 15(2), 221–252 (2007)CrossRefGoogle Scholar
  3. 3.
    Lin, R., Kraus, S., Baarslag, T., Tykhonov, D., Hindriks, K.V., Jonker, C.M.: Genius: an integrated environment for supporting the design of generic automated negotiators. Comput. Intell. (2012)Google Scholar
  4. 4.
    Oshrat, Y., Lin, R., Kraus S.: Facing the challenge of human-agent negotiations via effective general opponent modeling. In: Proceedings of AAMAS (2009)Google Scholar

Copyright information

© Springer Japan 2015

Authors and Affiliations

  1. 1.Department of Information Systems EngineeringBen-Gurion University of the NegevBeershebaIsrael

Personalised recommendations