This article summarizes the bidding algorithms developed for the on-line Trading Agent Competition held in July, 2000 in Boston. At its heart, the article describes 12 of the 22 agent strategies in terms of (i) bidding strategy, (ii) allocation strategy, (iii) special approaches, and (iv) team motivations. The common and distinctive features of these agent strategies are highlighted. In addition, experimental results are presented that give some insights as to why the top-scoring agents' strategies were most effective.

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Electronic Commerce Research, Vol. 5, 2 (2005), pp. 229-65.

@article{TAC00-full, title={The First International Trading Agent Competition: Autonomous Bidding Agents}, author={Peter Stone and Amy Greenwald}, volume={5}, journal={Electronic Commerce Research}, number={2}, month={April}, pages={229-65}, url="http://www.cs.utexas.edu/users/ai-lab?TAC00-full", year={2005} }