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ABSTRACT
This paper deals with multi-unit combinatorial auctions where there are n types of goods for sale, and for each good there is some fixed number of units. We focus on the case where each bidder desires a relatively small number of units of each good. In particular, this includes the case where each good has exactly k units, and each bidder desires no more than a single unit of each good. We provide incentive compatible mechanisms for combinatorial auctions for the general case where bidders are not limited to single minded valuations. The mechanisms we give have approximation ratios close to the best possible for both on-line and off-line scenarios. This is the first result where non-VCG mechanisms are derived for non-single minded bidders for a natural model of combinatorial auctions.
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Baharak Rastegari , Anne Condon , Kevin Leyton-Brown, Revenue monotonicity in combinatorial auctions, Proceedings of the 22nd national conference on Artificial intelligence, p.122-127, July 22-26, 2007, Vancouver, British Columbia, Canada
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Takayuki Ito , Makoto Yokoo , Atsushi Iwasaki , Shigeo Matsubara, A new strategy-proof greedy-allocation combinatorial auction protocol and its extension to open ascending auction protocol, Proceedings of the 20th national conference on Artificial intelligence, p.261-266, July 09-13, 2005, Pittsburgh, Pennsylvania
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