Abstract
In May 2014, we organized the Fifth International Automated Negotiating Agents Competition (ANAC 2014) in conjunction with AAMAS 2014. 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. 21 teams from 13 different institutes competed in ANAC 2014. 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.
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Notes
- 1.
We note that, in the competition each agent plays both preference profiles, and therefore it would be possible in theory to learn the opponent’s preferences. However, the rules explicitly disallow learning between negotiation sessions, and only within a negotiation session. This is done so that agents need to be designed to deal with unknown opponents.
- 2.
The combinations of 10 agents are \(10 \times 9 / 2\), however, agents play each domain against each other twice by switching the roles.
- 3.
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Acknowledgments
The authors would like to thank the team of masters students at Nagoya Institute of Technology, Japan for their valuable help in the organization of the ANAC 2014 competition.
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Fujita, K., Aydoğan, R., Baarslag, T., Ito, T., Jonker, C. (2016). The Fifth Automated Negotiating Agents Competition (ANAC 2014). In: Fukuta, N., Ito, T., Zhang, M., Fujita, K., Robu, V. (eds) Recent Advances in Agent-based Complex Automated Negotiation. Studies in Computational Intelligence, vol 638. Springer, Cham. https://doi.org/10.1007/978-3-319-30307-9_13
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