ATTac-2001: A Learning, Autonomous Bidding Agent
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
A principled study of the design tradeoffs for autonomous trading agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
BiddingBot: A Multiagent Support System for Cooperative Bidding in Multiple Auctions
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Bayes-Nash equilibria for mth price auctions with multiple closing times
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In previous work we have introduced a principled methodology for systematically exploring the space of bidding strategies when agents participate in a significant number of simultaneous auctions, and thus finding an analytical solution is not possible. We decompose the problem into sub-problems and then use rigorous experimentation to determine the best partial strategies. In this paper we clarify and extend our methodology. We discuss our agent design for TAC 2003 and furthermore the changes to our agent as a result of the rule changes in TAC 2004. We also present a "full" set of experiments for determining an overall "optimal" strategy in the 2003 and 2004 Trading Agent Competition (TAC). Our agent was created by using the results of this methodology and has consistently been the top-scoring agent in several rounds of the TAC competition.