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An Overview of the Results and Insights from the Third Automated Negotiating Agents Competition (ANAC2012)

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Novel Insights in Agent-based Complex Automated Negotiation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 535))

Abstract

The third Automated Negotiating Agents Competition (ANAC 2012) was held at the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012, Valencia, Spain). ANAC is an international competition that aims to encourage research into bilateral, multi-issue negotiation, by providing a platform in which strategies developed independently by different research teams can be tried and compared against each other, in a real-time competition. In the 2012 edition, we received 17 entries from 9 different universities worldwide, out of which 8 were selected for the final round. This chapter aims to provide a broad description of the competition set-up (especially highlighting the changes from previous editions), the preference domains and the strategies submitted, as well as the results from both the qualifying and final rounds.

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Notes

  1. 1.

    The cluster consists of 924 Westmere compute nodes, each with two 6-core processors, as well as 84 Intel Nehalem compute nodes with two 4-core processors.

  2. 2.

    The remaining domains from the previous competitions: England vs Zimbabwe, Camera, Energy and IS BT Acquisition had each already been re-submitted by a one of the ANAC 2012 participants.

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Acknowledgements

The authors acknowledge the use of the IRIDIS High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.

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Correspondence to Colin R. Williams .

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Williams, C.R., Robu, V., Gerding, E.H., Jennings, N.R. (2014). An Overview of the Results and Insights from the Third Automated Negotiating Agents Competition (ANAC2012). In: Marsa-Maestre, I., Lopez-Carmona, M., Ito, T., Zhang, M., Bai, Q., Fujita, K. (eds) Novel Insights in Agent-based Complex Automated Negotiation. Studies in Computational Intelligence, vol 535. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54758-7_9

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