Bayesian incentive compatibility via matchings

  • Authors:
  • Jason D. Hartline;Robert Kleinberg;Azarakhsh Malekian

  • Affiliations:
  • Northwestern University, Evanston, IL;Cornell University, Ithaca, NY;Northwestern University, Evanston, IL

  • Venue:
  • Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
  • Year:
  • 2011

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Abstract

We give a simple reduction from Bayesian incentive compatible mechanism design to algorithm design in settings where the agents' private types are multidimensional. The reduction preserves performance up to an additive loss that can be made arbitrarily small in polynomial time in the number of agents and the size of the agents' type spaces.