• DocumentCode
    3064324
  • Title

    Optimal Multi-unit Combinatorial Auctions with Single Minded Bidders

  • Author

    Gujar, Sujit ; Narahari, Y.

  • Author_Institution
    Dept of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India
  • fYear
    2009
  • fDate
    20-23 July 2009
  • Firstpage
    74
  • Lastpage
    81
  • Abstract
    The current art in optimal combinatorial auctions is limited to handling the case of single units of multiple items, with each bidder bidding on exactly one bundle (single minded bidders). This paper extends the current art by proposing an optimal auction for procuring multiple units of multiple items when the bidders are single minded. We develop a procurement auction that minimizes the cost of procurement while satisfying Bayesian incentive compatibility and interim individual rationality. Under appropriate regularity conditions, this optimal auction also satisfies dominant strategy incentive compatibility. The results presented here hold true for equivalent forward auction settings as well.
  • Keywords
    Bayes methods; combinatorial mathematics; commerce; cost reduction; incentive schemes; optimisation; procurement; BIC; Bayesian incentive compatibility; DSIC; cost minimization; dominant strategy incentive compatibility; equivalent forward auction setting; interim individual rationality; optimal multiunit combinatorial auction; optimisation problem; procurement auction; single minded bidder bidding problem; Art; Automation; Bayesian methods; Business; Computer science; Cost accounting; Design optimization; Measurement; Mechanical factors; Procurement; Bayesian Incentive Compatibility (BIC); Dominant Strategy Incentive Compatibility (DSIC); Individual Rationality (IR); Multi-Unit Combinatorial Procurement Auction; Optimal Mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3755-9
  • Type

    conf

  • DOI
    10.1109/CEC.2009.86
  • Filename
    5210814