• DocumentCode
    1711956
  • Title

    Budget Feasible Mechanisms

  • Author

    Singer, Yaron

  • Author_Institution
    Comput. Sci. Div., Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2010
  • Firstpage
    765
  • Lastpage
    774
  • Abstract
    We study a novel class of mechanism design problems in which the outcomes are constrained by the payments. This basic class of mechanism design problems captures many common economic situations, and yet it has not been studied, to our knowledge, in the past. We focus on the case of procurement auctions in which sellers have private costs, and the auctioneer aims to maximize a utility function on subsets of items, under the constraint that the sum of the payments provided by the mechanism does not exceed a given budget. Standard mechanism design ideas such as the VCG mechanism and its variants are not applicable here. We show that, for general functions, the budget constraint can render mechanisms arbitrarily bad in terms of the utility of the buyer. However, our main result shows that for the important class of sub modular functions, a bounded approximation ratio is achievable. Better approximation results are obtained for subclasses of the sub modular functions. We explore the space of budget feasible mechanisms in other domains and give a characterization under more restricted conditions.
  • Keywords
    budgeting; VCG mechanism; bounded approximation ratio; budget constraint; mechanism design; procurement auction; Approximation methods; Economics; Frequency modulation; Procurement; Resource management; Sorting; Space exploration; algorithmic game theory; algorithmic mechanism design; budget; submodular maximization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science (FOCS), 2010 51st Annual IEEE Symposium on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    0272-5428
  • Print_ISBN
    978-1-4244-8525-3
  • Type

    conf

  • DOI
    10.1109/FOCS.2010.78
  • Filename
    5671347