Computationally feasible VCG mechanisms

By Noam Nisan, Amir Ronen. ACM Conference on Economics and Computation, 2000

583 citations recorded by the source corpus.

A major achievement of mechanism design theory is a general method for the construction of truthful mechanisms called VCG (Vickrey, Clarke, Groves). When applying this method to complex problems such as combinatorial auctions, a difficulty arises: VCG mechanisms are required to compute optimal outcomes and are, therefore, computationally infeasible. However, if the optimal outcome is replaced by the results of a sub-optimal algorithm, the resulting mechanism (termed VCG-based) is no longer necessarily truthful. The first part of this paper studies this phenomenon in depth and shows that it is near universal. Specifically, we prove that essentially all reasonable approximations or heuristics for combinatorial auctions as well as a wide class of cost minimization problems yield non-truthful VCG-based mechanisms. We generalize these results for affine maximizers. The second part of this paper proposes a general method for circumventing the above problem. We introduce a modification of VCG-based mechanisms in which the agents are given a chance to improve the output of the underlying algorithm. When the agents behave truthfully, the welfare obtained by the mechanism is at least as good as the one obtained by the algorithm’s output. We provide a strong rationale for truth-telling behavior. Our method satisfies individual rationality as well.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a61bd10b57b54a7a9fbec6d4e2b313eb6e1ebafa

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In Economics and Econometrics

  1. Noam Nisan
  2. Ahuva Mu'alem
  3. Yoav Shoham
  4. D. Parkes
  5. Daniel J. Lehmann
  6. Lyle Ungar
  7. Liadan O'Callaghan
  8. Ron Lavi

In Management Science and Operations Research

  1. Noam Nisan
  2. Ahuva Mu'alem
  3. D. Parkes
  4. Yoav Shoham
  5. Scott Shenker
  6. Joan Feigenbaum
  7. Daniel J. Lehmann
  8. Lyle Ungar

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