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
Link To Document :
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