• DocumentCode
    531022
  • Title

    Characterization of Revenue Monotonicity in Combinatorial Auctions

  • Author

    Todo, Taiki ; Iwasaki, Atsushi ; Yokoo, Makoto

  • Author_Institution
    Dept. of Inf., Kyushu Univ., Fukuoka, Japan
  • Volume
    2
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    383
  • Lastpage
    390
  • Abstract
    An auction mechanism consists of an allocation rule and a payment rule. There have been several studies on characterizing strategy-proof allocation rules; if the allocation rule satisfies a condition called weak-monotonicity, an appropriate payment rule is guaranteed to exist. One desirable property that an auction mechanism should satisfy is revenue monotonicity; a seller´s revenue is guaranteed to weakly increase as the number of bidders grows. In this paper, we first identify a simple condition called summation-monotonicity for characterizing strategy-proof and revenue monotone allocation rules. To the best of our knowledge, this is the first attempt to characterize revenue monotone allocation rules. Based on this characterization, we also examine the connections between revenue monotonicity and false-name-proofness, which means a bidder cannot increase his utility by submitting multiple bids under fictitious names. In a single-item auction, we show that they are basically equivalent; a mechanism is false-name-proof if and only if it is strategy-proof and revenue monotone. On the other hand, we show these two conditions cannot coexist in combinatorial auctions under some minor condition.
  • Keywords
    electronic commerce; knowledge engineering; combinatorial auctions; false-name-proofness; multiple bids; payment rule; revenue monotone allocation rules; revenue monotonicity characterization; strategy-proof allocation rules; summation-monotonicity; weak-monotonicity; Bismuth; Conferences; Cost accounting; Electronic mail; Marketing and sales; Mechanical factors; Resource management; Combinatorial auctions; game theory; revenue;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.186
  • Filename
    5614626