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Combinatorial agency
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Source Electronic Commerce archive
Proceedings of the 7th ACM conference on Electronic commerce table of contents
Ann Arbor, Michigan, USA
Pages: 18 - 28  
Year of Publication: 2006
ISBN:1-59593-236-4
Authors
Moshe Babaioff  UC Berkeley, Berkeley, CA, USA
Michal Feldman  The Hebrew University of Jerusalem, Jerusalem, Israel
Noam Nisan  The Hebrew University of Jerusalem, 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

Much recent research concerns systems, such as the Internet, whose components are owned and operated by different parties, each with his own "selfish" goal. The field of Algorithmic Mechanism Design handles the issue of private information held by the different parties in such computational settings. This paper deals with a complementary problem in such settings: handling the "hidden actions" that are performed by the different parties.Our model is a combinatorial variant of the classical principalagent problem from economic theory. In our setting a principal must motivate a team of strategic agents to exert costly effort on his behalf, but their actions are hidden from him. Our focus is on cases where complex combinations of the efforts of the agents influence the outcome. The principal motivates the agents by offering to them a set of contracts, which together put the agents in an equilibrium point of the induced game. We present formal models for this setting, suggest and embark on an analysis of some basic issues, but leave many questions open.


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
M. Babaioff, M. Feldman, and N. Nisan. The Price of Purity and Free-Labor in Combinatorial Agency. In Working Paper, 2005.
 
2
M. Babaioff, M. Feldman, and N. Nisan. Combinatorial agency, 2006. www.sims.berkeley.edu/~moshe/comb-agency.pdf.
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B. Holmstrom. Moral Hazard in Teams. Bell Journal of Economics, 13:324--340, 1982.
 
5
A. Mass-Colell, M. Whinston, and J. Green. Microeconomic Theory. Oxford University Press, 1995.
6
7
 
8
J. S. Provan and M. O. Ball. The complexity of counting cuts and of computing the probability that a graph is connected. SIAM J. Comput., 12(4):777--788, 1983.
 
9
A. Ronen and L. Wahrmann. Prediction Games. WINE, pages 129--140, 2005.
 
10
 
11
R. Smorodinsky and M. Tennenholtz. Overcoming Free-Riding in Multi-Party Computations - The Anonymous Case. Forthcoming, GEB, 2005.
 
12
E. Winter. Incentives and Discrimination. American Economic Review, 94:764--773, 2004.


Collaborative Colleagues:
Moshe Babaioff: colleagues
Michal Feldman: colleagues
Noam Nisan: colleagues