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Using value queries in combinatorial auctions

Published: 09 June 2003 Publication History

Abstract

Combinatorial auctions, where bidders can bid on bundles of items, are known to be desirable auction mechanisms for selling items that are complementary and/or substitutable. However, there are 2k --1 bundles, and each agent may need to bid on all of them to fully express its preferences. We address this by showing how them auctioneer can recommend to the agents incrementally which bundles to bid on so that they need to only place a small fraction of all possible bids. These algorithms impose a great computational burden on the auctioneer; we show how to speed them up dramatically. We also present an optimal elicitor, which is intractable but may be the basis for future algorithms. Finally, we introduce the notion of a universal revelation reducer, demonstrate a randomized one, and prove that no deterministic one exists.The full paper is available in draft form at http://www.cs.cmu.edu/ sandholm/using_value_queries.pdf.

References

[1]
Wolfram Conen and Tuomas Sandholm. Preference elicitation in combinatorial auctions: Extended abstract. In ACM-EC, pp. 256--259, 2001. A more detailed description of the algorithmic aspects appeared in the IJCAI-2001 Workshop on Economic Agents, Models, and Mechanisms, pp. 71--80.
[2]
Wolfram Conen and Tuomas Sandholm. Differential-revelation VCG mechanisms for combinatorial auctions. In AAMAS-02 workshop on Agent-Mediated Electronic Commerce, 2002.
[3]
Benoit Hudson and Tuomas Sandholm. Effectiveness of preference elicitation in combinatorial auctions. In AAMAS-02 workshop on Agent-Mediated Electronic Commerce, 2002. Extended version: Carnegie Mellon University, Computer Science Department, CMU-CS-02-124, March. Also: Stanford Institute for Theoretical Economics workshop (SITE-02).
[4]
Noam Nisan and Ilya Segal. The communication complexity of efficient allocation problems Draft. March, 2002.
[5]
David C Parkes. iBundle: An efficient ascending price bundle auction. In ACM-EC, pp. 148--157, 1999.
[6]
Trey Smith, Tuomas Sandholm, and Reid Simmons. Constructing and clearing combinatorial exchanges using preference elicitation. In AAAI-02 workshop on Preferences in AI and CP: Symbolic Approaches, 2002.
[7]
Martin Zinkevich, Avrim Blum, and Tuomas Sandholm. On polynomial-time preference elicitation with value queries. To appear ACM-EC, 2003.

Cited By

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  • (2004)Applying learning algorithms to preference elicitationProceedings of the 5th ACM conference on Electronic commerce10.1145/988772.988800(180-188)Online publication date: 17-May-2004
  • (2003)Making markets and democracy workProceedings of the 18th international joint conference on Artificial intelligence10.5555/1630659.1630955(1649-1671)Online publication date: 9-Aug-2003

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    cover image ACM Conferences
    EC '03: Proceedings of the 4th ACM conference on Electronic commerce
    June 2003
    292 pages
    ISBN:158113679X
    DOI:10.1145/779928
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 09 June 2003

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    Author Tags

    1. combinatorial auctions
    2. electronic auctions
    3. preference elicitation

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    View all
    • (2004)Applying learning algorithms to preference elicitationProceedings of the 5th ACM conference on Electronic commerce10.1145/988772.988800(180-188)Online publication date: 17-May-2004
    • (2003)Making markets and democracy workProceedings of the 18th international joint conference on Artificial intelligence10.5555/1630659.1630955(1649-1671)Online publication date: 9-Aug-2003

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