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2003 IEEE International Conference on E-Commerce Technology (CEC'03)
Applying Evolutionary Game Theory to Auction Mechanism Design
Newport Beach, California
June 24-June 27
ISBN: 0-7695-1969-5
Andrew Byde, HP Labs
In this paper we describe an evolution-based method for evaluating auction mechanisms, and apply it to a space of mechanisms including the standard first- and second-price sealed bid auctions. We replicate results known already in the Auction Theory literature regarding the suitability of different mechanisms for different bidder environments, and extend the literature by establishing the superiority of novel mechanisms over standard mechanisms, for commonly occurring scenarios. Thus this paper simultaneously extends Auction Theory, and provides a systematic method for further such extensions.
Citation:
Andrew Byde, "Applying Evolutionary Game Theory to Auction Mechanism Design," cec, pp.347, 2003 IEEE International Conference on E-Commerce Technology (CEC'03), 2003
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