ACM Home Page
Please provide us with feedback. Feedback
Mechanism design over discrete domains
Full text PdfPdf (358 KB)
Source
Electronic Commerce archive
Proceedings of the 9th ACM conference on Electronic commerce table of contents
Chicago, Il, USA
SESSION: Characterizing incentive compatibility table of contents
Pages 31-37  
Year of Publication: 2008
ISBN:978-1-60558-169-9
Authors
Ahuva Mu'alem  California Institute of Technology
Michael Schapira  Hebrew University of Jerusalem, Israel
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 70,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1386790.1386797
What is a DOI?

ABSTRACT

Often, we wish to design incentive-compatible algorithms for settings in which the players' private information is drawn from discrete domains (e.g., integer values). Our main result is identifying discrete settings in which an algorithm can be made incentive-compatible iff the function it computes upholds a simple monotonicity constraint, known as weak-monotonicity. To the best of our knowledge, this is the first such characterization of incentive-compatibility in discrete domains (such characterizations were previously known only for inherently non-discrete domains, e.g., convex domains). We demonstrate the usefulness of this result by showing an application to the TCP-inspired congestion-control problem presented in [20].


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
 
2
 
3
S. Bikhchandani, S. Chatterji, R. Lavi, A. Mu'alem, N. Nisan, and A. Sen. Weak monotonicity characterizes deterministic dominant strategy implementation. Econometrica, 74(4):1109--1132, July 2006.
 
4
George Christodoulou, Elias Koutsoupias, and Annamaria Kovacs. Mechanism design for fractional scheduling on unrelated machines. In Lars Arge, Christian Cachin, Tomasz Jurdzinski, and Andrzej Tarlecki, editors, ICALP, volume 4596 of Lecture Notes in Computer Science, pages 40--52. Springer, 2007.
 
5
 
6
V.G. Deineko and G. Woeginger. Some problems around travelling salesmen, dart boards, and euro-coins. Bulletin of the European Association for Theoretical Computer Science, 90:43--52, October 2006.
7
 
8
Andrew Goldberg, Jason Hartline, Anna Karlin, and Andrew Wright. Competitive auctions, 2004. Working paper. Preliminary versions presented at SODA'01 and STOC'02.
 
9
Hongwei Gui, Rudolf Muller, and Rakesh Vohra. Characterizing dominant strategy mechanisms with multi-dimensional types, 2004. Working paper.
 
10
11
12
 
13
 
14
Dov Monderer. Monotonicity and implementability, 2007. Working paper.
 
15
 
16
Noam Nisan and Amir Ronen. Algorithmic mechanism design. Games and Economic Behavior, 35:166--196, 2001.
 
17
 
18
J.C. Rochet. A necessary and sufficient condition for rationalizability in a quasi-linear context. Journal of Mathematical Economics, 16:191--200, 1987.
19
 
20
Michael Schapira and Aviv Zohar. Congestion-control games, 2008. Working paper.
 
21
Lan Yu. Private communication, 2005.


Collaborative Colleagues:
Ahuva Mu'alem: colleagues
Michael Schapira: colleagues