Skip to main content

Revenue failures and collusion in combinatorial auctions and exchanges with VCG payments

Publication ,  Journal Article
Conitzer, V; Sandholm, T
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
December 1, 2005

In a combinatorial auction, there are multiple items for sale, and bidders are allowed to place a bid on a bundle of these items rather than just on the individual items. A key problem in this and similar settings is that of strategic bidding, where bidders misreport their true preferences in order to effect a better outcome for themselves. The VCG payment scheme is the canonical method for motivating the bidders to bid truthfully. We study two related problems concerning the VCG payment scheme: the problem of revenue guarantees, and that of collusion. The existence of such problems is known by many; in this paper, we lay out their full extent. We study four settings: combinatorial forward auctions with free disposal, combinatorial reverse auctions with free disposal, combinatorial forward (or reverse) auctions without free disposal, and combinatorial exchanges. In each setting, we give an example of how additional bidders (colluders) can make the outcome much worse (less revenue or higher cost) under the VCG payment scheme (but not under a first price scheme); derive necessary and sufficient conditions for such an effective collusion to be possible under the VCG payment scheme; and (when nontrivial) study the computational complexity of deciding whether these conditions hold. © Springer-Verlag Berlin Heidelberg 2005.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2005

Volume

3435 LNAI

Start / End Page

1 / 14

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Conitzer, V., & Sandholm, T. (2005). Revenue failures and collusion in combinatorial auctions and exchanges with VCG payments. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3435 LNAI, 1–14.
Conitzer, V., and T. Sandholm. “Revenue failures and collusion in combinatorial auctions and exchanges with VCG payments.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3435 LNAI (December 1, 2005): 1–14.
Conitzer V, Sandholm T. Revenue failures and collusion in combinatorial auctions and exchanges with VCG payments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Dec 1;3435 LNAI:1–14.
Conitzer, V., and T. Sandholm. “Revenue failures and collusion in combinatorial auctions and exchanges with VCG payments.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3435 LNAI, Dec. 2005, pp. 1–14.
Conitzer V, Sandholm T. Revenue failures and collusion in combinatorial auctions and exchanges with VCG payments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005 Dec 1;3435 LNAI:1–14.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2005

Volume

3435 LNAI

Start / End Page

1 / 14

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences