Adaptive mechanism design: a metalearning approach

@inproceedings{Pardoe2006AdaptiveMD,
  title={Adaptive mechanism design: a metalearning approach},
  author={David Pardoe and Peter Stone and Maytal Saar-Tsechansky and Kerem Tomak},
  booktitle={ICEC},
  year={2006}
}
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unknown and variable behavior, making them difficult to model and complicating the design process. To address this challenge, we explore the use of an adaptive auction mechanism: one that learns to adjust its parameters in response to past empirical bidder behavior so as to maximize an objective function such as auctioneer… CONTINUE READING
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Co-evolutionary auction mechanism design. In Agent Mediated Electronic Commerce IV, volume 2531 of Lecture Notes in Artificial Intelligence

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