| ATTac-2000: an adaptive autonomous bidding agent |
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International Conference on Autonomous Agents
archive
Proceedings of the fifth international conference on Autonomous agents
table of contents
Montreal, Quebec, Canada
Pages: 238 - 245
Year of Publication: 2001
ISBN:1-58113-326-X
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Authors
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Peter Stone
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AT&T Labs -- Research, 180 Park Ave., Florham Park, NJ
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Michael L. Littman
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AT&T Labs -- Research, 180 Park Ave., Florham Park, NJ
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Satinder Singh
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AT&T Labs -- Research, 180 Park Ave., Florham Park, NJ
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Michael Kearns
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AT&T Labs -- Research, 180 Park Ave., Florham Park, NJ
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| Bibliometrics |
Downloads (6 Weeks): 12, Downloads (12 Months): 32, Citation Count: 10
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ABSTRACT
The First Trading Agent Competition (TAC) was held from June 22 to July 8, 2000. TAC was designed to create a benchmark problem in the complex domain of e-marketplaces and to motivate researchers to apply unique approaches to a common task. This paper describes \attac, the first-place finisher in TAC. \attac\ uses a principled bidding strategy that includes several elements of {adaptivity\/}. In addition to the success at the competition, isolated empirical results are presented indicating the robustness and effectiveness of \attac's adaptive strategy.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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P. C.Cramton. The FCC spectrum auctions: An early assessment. Journal of Economics and Management Strategy, 6(3):431-495, 1997.
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J. A. Csirik, M. L. Littman, S. Singh, and P. Stone. FAucS: An FCC spectrum auction simulator for autonomous bidding agents. Under Review, 2001. Available at http: //www.research.att.com/~pstone/papers.html.
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A. Eisenberg. In online auctions of the future, it'll be bot vs. bot vs. bot. The New York Times, 2000. August 17th.
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M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Proceedings of the Eleventh International Conference on Machine Learning, pages 157-163, San Mateo, CA, 1994. Morgan Kaufman.
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R. J. Weber. Making more from less: Strategic demand reduction in the FCC spectrum auctions. Journal of Economics and Management Strategy, 6(3):529-548, 1997.
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M. P. Wellman, P. R. Wurman, K. O'Malley, R. Bangera, S.-d. Lin, D. Reeves, and W. E. Walsh. A trading agent competition. In press. Available at http://tac.eecs.umich.edu/reports.html, 2001.
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CITED BY 10
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Chris Preist , Claudio Bartolini , Andrew Byde, Agent-based service composition through simultaneous negotiation in forward and reverse auctions, Proceedings of the 4th ACM conference on Electronic commerce, p.55-63, June 09-12, 2003, San Diego, CA, USA
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TAC Team , Michael P. Wellman , Peter R. Wurman , Kevin O'Malley , Roshan Bangera , Shou-de Lin , Daniel Reeves , William E. Walsh, Designing the Market Game for a Trading Agent Competition, IEEE Internet Computing, v.5 n.2, p.43-51, March 2001
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