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Journal of Artificial Intelligence Research 15 (2001), pp. 189-206. Submitted 2/01; published 9/01.
© 2001 AI Access Foundation and Morgan Kaufmann Publishers. All rights reserved.
Postscript and PDF versions of this document are available from here.

ATTac-2000: An Adaptive Autonomous Bidding Agent

Peter Stone
Michael L. Littman
AT&T Labs Research, 180 Park Avenue
Florham Park, NJ 07932 USA

Satinder Singh
Michael Kearns
Syntek Capital, 423 West 55th Street
New York, NY 10019 USA


The First Trading Agent Competition (TAC) was held from June 22nd to July 8th, 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 article describes ATTac-2000, the first-place finisher in TAC. ATTac-2000 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-2000's adaptive strategy.


Peter Stone