Abstract
This work describes an automated negotiation agent called OMAC which was awarded the joint third place in the 2012 Automated Negotiating Agent Competition (ANAC 2012). OMAC, standing for “Opponent Modeling and Adaptive Concession,” combines efficient OMACmaking. Opponent modeling is achieved through standard wavelet decomposition and cubic smoothing spline; concession-making is made through setting the best possible concession rate on the basis of the expected utilities of forthcoming counter-offers.
This is a shortened version of our OMAC description provided in [3].
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References
de Boor, C.: A Practical Guide to Splines. Springer, New York (1978)
Chen, S., Ammar, H.B., Tuyls, K., Weiss, G.: Optimizing complex automated negotiation using sparse pseudo-input Gaussian processes. In: Proceedings of the 12th International Joint Conference on Autonomous Agents and Multi-Agent Systems, pp. 707–714. ACM, Saint Paul, Minnesota (2013)
Chen, S., Weiss, G.: An efficient and adaptive approach to negotiation in complex environments. In: Proceedings of the 20th European Conference on Artificial Intelligence, pp. 228–233. IOS, Montpellier, France (2012)
Daubechies, I.: Ten Lectures on Wavelets. Society for Industrial and Applied Mathematics, Philadelphia, PA (2006)
Rubinstein, A.: Perfect equilibrium in a bargaining model. Econometrica 50(1), 97–109 (1982)
Weiss, G. (ed.): Multiagent Systems, 2nd edn. MIT, Cambridge, MA (2013)
Yousefi, S., Weinreich, I., Reinarz, D.: Wavelet-based prediction of oil prices. Chaos Solitons Fract. 25(2), 265–275 (2005)
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Chen, S., Weiss, G. (2014). OMAC: A Discrete Wavelet Transformation Based Negotiation Agent. 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_13
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DOI: https://doi.org/10.1007/978-4-431-54758-7_13
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