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WhaleAgent: Hardheaded Strategy and Conceder Strategy Based on the Heuristics

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 638))

Abstract

The Automated Negotiation Agents Competition (ANAC2014) was organized. Previous works proposed agents that had various strategies. In this paper, we developed a negotiation agent (WhaleAgent) for ANAC2014. WhaleAgent has two searching bid strategies and two bidding strategies. The searching bid strategies use Simulated Annealing and Hill Climbing. The bidding strategies are Hardheaded strategy and Conceder strategy. We describe these strategies based on the heuristics.

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References

  1. ANAC2014—Automated Negotiating Agents Competition 2014 (ANAC 2014). http://www.itolab.nitech.ac.jp/ANAC2014/

  2. van Krimpen, T., Looije, D., Hajizadeh, S.: Hardheaded. In: Complex Automated Negotiations: Theories, Models, and Software Competitions. Springer, Berlin (2013), pp. 223–227

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  3. Fatima, S.S., Wooldridge, M., Jennings, N.R.: Optimal negotiation strategies for agents with incomplete information. Intelligent Agents VIII. Springer, Berlin Heidelberg (2002), pp. 377–392

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Correspondence to Motoki Sato .

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© 2016 Springer International Publishing Switzerland

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Sato, M., Ito, T. (2016). WhaleAgent: Hardheaded Strategy and Conceder Strategy Based on the Heuristics. 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_19

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  • DOI: https://doi.org/10.1007/978-3-319-30307-9_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30305-5

  • Online ISBN: 978-3-319-30307-9

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