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.

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Journal of Artificial Intelligence Research, Vol. 15 (2001), pp. 189-206.

@article{JAIR-tac00, title={ATTac-2000: An Adaptive Autonomous Bidding Agent}, author={Peter Stone and Michael L. Littman and Satinder Singh and Michael Kearns}, volume={15}, journal={Journal of Artificial Intelligence Research}, month={June}, pages={189-206}, url="http://www.cs.utexas.edu/users/ai-lab?JAIR-tac00", year={2001} }