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Informational overhead of incentive compatibility
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Electronic Commerce archive
Proceedings of the 9th ACM conference on Electronic commerce table of contents
Chicago, Il, USA
SESSION: Communication complexity in mechanisms table of contents
Pages 88-97  
Year of Publication: 2008
ISBN:978-1-60558-169-9
Authors
Moshe Babaioff  Microsoft, Mountain View, CA, USA
Liad Blumrosen  Microsoft, Mountain View, CA, USA
Moni Naor  Weizmann Institute, Rehovot, Israel
Michael Schapira  Hebrew University, Jerusalem, Israel
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

In the presence of self-interested parties, mechanism designers typically aim to achieve their goals (or social-choice functions) in an equilibrium. In this paper, we study the cost of such equilibrium requirements in terms of communication, a problem that was recently raised by Fadel and Segal. While a certain amount of information x needs to be communicated just for computing the outcome of a certain social-choice function, an additional amount of communication may be required for computing the equilibrium-supporting prices (even if such prices are known to exist).

Our main result shows that the total communication needed for this task can be greater than x by a factor linear in the number of players n, i.e., nx. This is the first known lower bound for this problem. In fact, we show that this result holds even in single-parameter domains (under the common assumption that losing players pay zero). On the positive side, we show that certain classic economic objectives, namely, single-item auctions and public-good mechanisms, only entail a small overhead. Finally, we explore the communication overhead in welfare-maximization domains, and initiate the study of the overhead of computing payments that lie in the core of coalitional games.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. M. Ausubel and P. R. Milgrom. Ascending auctions with package bidding. Frontiers of Theoretical Economics, 1:1--42, 2002.
 
2
Lawrence M. Ausubel and Paul Milgrom. In P. Cramton and Y. Shoham and R. Steinberg (Editors), Combinatorial Auctions. Chapter 1. The Lovely but Lonely Vickrey Auction. MIT Press., 2006.
 
3
Sushil Bikhchandani, Rakesh Vohra, Sven de Vries, and JamesSchummer. Linear programming and Vickrey auctions. Mathematics of the Internet: E-Auction and Markets, pages 75--115, 2002.
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5
6
 
7
 
8
 
9
 
10
Noam Nisan. Introduction to Mechanism Design (for Computer Scientists) In Noam Nisan, Tim Roughgarden, Eva Tardos and Vijay Vazirani (Editors), Algorithmic Game Theory. Chapter 9.
 
11
Noam Nisan and Amir Ronen. Algorithmic mechanism design. Games and Economic Behaviour, 35:166--196, 2001. A preliminary version appeared in STOC 1999.
 
12
Noam Nisan and Ilya Segal. The communication requirements of efficient allocations and supporting prices. Journal of Economic Theory, 129(1):192--224, 2006.
 
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Ilya Segal. In P. Cramton and Y. Shoham and R. Steinberg (Editors), Combinatorial Auctions. Chapter 11. The Communication Requirements of Combinatorial Allocation Problems. MIT Press., 2006.
 
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Ilya Segal. The communication requirements of social choice rules and supporting budget sets. Journal of Economic Theory, 136:341--378, 2007.
 
15
Ilya Segal and Ronald Fadel. The communication cost of selfishness, 2006. Journal of Ecnomic Theory, to appear.
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Collaborative Colleagues:
Moshe Babaioff: colleagues
Liad Blumrosen: colleagues
Moni Naor: colleagues
Michael Schapira: colleagues