Abstract
This paper considers algorithmic problems in a distributed setting where the participants cannot be assumed to follow the algorithm but rather their own self-interest. Such scenarios arise, in particular, when computers or users aim to cooperate or trade over the Internet. As such participants, termed agents, are capable of manipulating the algorithm, the algorithm designer should ensure in advance that the agents’ interests are best served by behaving correctly.
This exposition presents a model to formally study such algorithms. This model, based on the field of mechanism design, is taken from the author’s joint work with Amir Ronen, and is similar to approaches taken in the distributed AI community in recent years. Using this model, we demonstrate how some of the techniques of mechanism design can be applied towards distributed computation problems. We then exhibit some issues that arise in distributed computation which require going beyond the existing theory of mechanism design.
This research was supported by grants from the Israeli ministry of Science and the Israeli academy of sciences.
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References
Comet group technical reports. Web Page: http://comet.ctr.columbia.edu/publications/techreports.html.
The information economy. Web Page: http://www.sims.berkeley.edu/resources/infoecon/.
Market-oriented programming. Web Page: http://ai.eecs.umich.edu/people/wellman/MOP.html.
First international conference on information and computation economies ice-98. Web Page: http://www.cs.columbia.edu/ICE-98/, October 1998.
E. H. Clarke. Multipart pricing of public goods. Public Choice, pages 17–33, 1971.
C. Crepeau D. Chaum and I. Damgard. Multiparty unconditionally secure protocols. In 20th STOC, 1988.
Eithan Ephrati and Jeffrey S. Rosenschein. The clarke tax as a concensus mechanism among automated agents. In Proceedings of the national Conference on Artificial Intelligence, pages 173–178, July 1991.
Donald F. Ferguson, Christos Nikolaou, and Yechiam Yemini. Economic models for allocating resources in computer systems. In Scott Clearwater, editor, Market-Based Control: A Paradigm for Distributed Resource Allocation. World Scientific, 1995.
J. Green and J.J. Laffont. Characterization of satisfactory mechanism for the revelation of preferences for public goods. Econometrica, pages 427–438, 1977.
T. Groves. Incentives in teams. Econometrica, pages 617–631, 1973.
Y.A Korilis, A. A. Lazar, and A. Orda. Architecting noncooperative networks. IEEE Journal on Selected Areas in Communication Special Issue on Advances in the Fundamentals of Networking), 13(7):1241–1251, September 1991.
A.A. Lazar and N. Semret. The progressive second price auction mechanism for network resource sharing. In 8th International Symposium on Dynamic Games, Maastricht, The Netherlands, July 1998.
Nathan Lineal. Game theoretic aspects of computing. In Handbook of Game Theory, volume 2, pages 1339–1395. Elsevier Science Publishers B.V, 1994.
S. Golwasser M. Ben-Or and A. Wigderson. Completeness theorems for faulttaulerent distributed computing. In 20th STOC, 1988.
A. Mas-Collel, W. Whinston, and J. Green. Microeconomic Theory. Oxford university press, 1995.
J. McMillan. Selling spectrum rights. Journal of Economic Perspectives, pages 145–162, 1994.
Market design inc. Web Page: http://www.market-design.com.
Noam Nisan and Amir Ronen. Algorithmic mechanism design. Avilable at http://www.cs.huji.ac.il/~amiry.
S. Micali O. Goldreich and A. Wigderson. Proofs that yield nothing but their validity and a methodology of cryptographic protocol design. In 27th FOCS, 1986.
M. J. Osborne and A. Rubistein. A Course in Game Theory. MIT press, 1994.
Jeffrey S. Rosenschein and Gilad Zlotkin. Rules of Encounter: Designing Conventions for Automated Negotiation Among Computers. MIT Press, 1994.
Tuomas W. Sandholm. Limitations of the vickrey auction in computational multiagent systems. In Proceedings of the Second International Conference on Multi-agent Systems (ICMAS-96), pages 299–306, Keihanna Plaza, Kyoto, Japan, December 1996.
S. Shenkar, Clark D. E., and Hertzog S. Pricing in computer networks: Reshaping the research agenda. ACM Computational Comm. Review, pages 19–43, 1996.
W. Vickrey. Counterspeculation, auctions and competitive sealed tenders. Journal of Finance, pages 8–37, 1961.
W.E. Walsh and M.P. Wellman. A market protocol for decentralized task allocation: Extended version. In The Proceedings of the Third International Conference on Multi-Agent Systems (ICMAS-98), 1998.
W.E. Walsh, M.P. Wellman, P.R. Wurman, and J.K. MacKie-Mason. Auction protocols for decentralized scheduling. In Proceedings of The Eighteenth International Conference on Distributed Computing Systems (ICDCS-98), Amsterdam, The Netherlands, 1998.
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Nisan, N. (1999). Algorithms for Selfish Agents. In: Meinel, C., Tison, S. (eds) STACS 99. STACS 1999. Lecture Notes in Computer Science, vol 1563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49116-3_1
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DOI: https://doi.org/10.1007/3-540-49116-3_1
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