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Strategy/False-Name Proof Protocols for Combinatorial Multi-attribute Procurement Auction: Handling Arbitrary Utility of the Buyer

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Internet and Network Economics (WINE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3828))

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Abstract

In this paper, we develop new protocols for a combinatorial, multi-attribute procurement auction in which each sales item (task) is defined by several attributes called quality, the buyer is the auctioneer (e.g., a government), and the sellers are the bidders. Furthermore, there exist multiple tasks, and both buyer and sellers can have arbitrary (e.g., complementary/substitutable) preferences on a bundle of tasks.

In this setting, there is a chance that a VCG protocol cannot satisfy Individual Rationality (IR) for the buyer, i.e., the buyer’s utility can be negative. We show that if a surplus function is concave, then the VCG protocol satisfies IR and the protocol is also false-name-proof, i.e., using multiple identifiers provides no advantage. Furthermore, we present a modification of the VCG protocol that satisfies IR even if the concavity condition is not satisfied. The key idea of this protocol is to introduce a special type of bidder called the reference bidder. We assume that the auctioneer knows the upper-bound of the reference bidder’s cost. Introducing such a reference bidder is similar to setting reservation prices in standard combinatorial auctions. Furthermore, we develop a new false-name-proof protocol that is based on the idea of the Leveled Division Set (LDS) protocol.

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© 2005 Springer-Verlag Berlin Heidelberg

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Suyama, T., Yokoo, M. (2005). Strategy/False-Name Proof Protocols for Combinatorial Multi-attribute Procurement Auction: Handling Arbitrary Utility of the Buyer. In: Deng, X., Ye, Y. (eds) Internet and Network Economics. WINE 2005. Lecture Notes in Computer Science, vol 3828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11600930_27

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  • DOI: https://doi.org/10.1007/11600930_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30900-0

  • Online ISBN: 978-3-540-32293-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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