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k-Implementation

Published:09 June 2003Publication History

ABSTRACT

This paper discusses an interested party who wishes to influence the behavior of agents in a game, which is not under his control. The interested party cannot design a new game, cannot enforce agents' behavior, cannot enforce payments by the agents, and cannot prohibit strategies available to the agents. However, he can influence the outcome of the game by committing to non-negative monetary transfers for the different strategy profiles that may be selected by the agents. The interested party assumes that agents are rational in the commonly agreed sense that they do not use dominated strategies. Hence, a certain subset of outcomes is implemented in a given game if by adding non-negative payments, rational players will necessarily produce an outcome in this subset. Obviously, by making sufficiently big payments one can implement any desirable outcome. The question is what is the cost of implementation? In this paper we introduce the notion of k-implementation of a desired set of strategy profiles, where k stands for the amount of payment that need to be actually made in order to implement desirable outcomes. A major point in k-implementation is that monetary offers need not necessarily materialize when following desired behaviors. We define and study k-implementation in the contexts of games with complete and incomplete information. In the later case we mainly focus on the VCG games. Our setting is later extended to deal with mixed strategies using correlation devices. Together, the paper introduces and studies the implementation of desirable outcomes by a reliable party who can not modify game rules (i.e. provide protocols), complementing previous work in mechanism design, while making it more applicable to many realistic CS settings.

References

  1. R.J. Aumann. Subjectivity and correlation in randomized strategies. Journal of Mathematical Economics, 1:67--96, 1974.Google ScholarGoogle ScholarCross RefCross Ref
  2. E. Clarke. Multipart pricing of public goods. Public Choice, 18:19--33, 1971.Google ScholarGoogle Scholar
  3. V. Conitzer and T. Sandholm. Complexity of mechanism design. In Proceedings of the 18th conference on uncertainity in Artificial Intelligence (UAI-02), pages 103--110, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. P. Dybvig and C.S. Spatt. Adoption externalities as public goods. Journal of Public Economics, 20:231--247, 1983.Google ScholarGoogle ScholarCross RefCross Ref
  5. J. Feigenbuam and Shenker S. Distributed Algorithmic Mechanism Design: Recent Results and Futute Directions. In Proceedings of the 6th International Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications, pages 1--13, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. D. Fudenberg and J. Tirole. Game Theory. MIT Press, 1991.Google ScholarGoogle Scholar
  7. T. Groves. Incentives in teams. Econometrica, 41:617--631, 1973.Google ScholarGoogle ScholarCross RefCross Ref
  8. S. Hart. games in extensive and strategic forms. In R.J. Aumann and S. Hart, editors, Handbook of Game Theory, chapter 2, pages 19--40. North Holland, Amsterdam, 1992.Google ScholarGoogle Scholar
  9. R. Holzman, N. Kfir-Dahav, D. Monderer, and M. Tennenholtz. Bundling Equilibrium in Combinatorial Auctions. Working paper Technion http://ie.technion.ac.il/dov.phtml, 2001.Google ScholarGoogle Scholar
  10. R. Holzman and D. Monderer. Characterization of ex post equilibrium in the VCG combinatorial auctions. Working Paper, Technion, http://ie.technion.ac.il/dov.phtml, 2002.Google ScholarGoogle Scholar
  11. E. Koutsoupias and C. Papadimitriou. Worst-Case Equilibria. In STACS, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. H.W. Kuhn. Extensive games and the problem of information. Annals of Mathematics Studies, 48, 1953.Google ScholarGoogle Scholar
  13. A. Mas-Colell, M.D. Whinston, and J.R. Green. Microeconomic Theory. Oxford University Press, 1995.Google ScholarGoogle Scholar
  14. E. Maskin. Nash equilibrium and welfare optimality. Review of Economic Studies, 66:23--38, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  15. E. Maskin and T. Sjostrom. Implementation theory. In K. J. Arrow, A. K. Sen, and Kotaro Suzumura, editors, Handbook of Social Choice Theory and Welfare Volume 1. North-Holland, Amsterdam, 2002.Google ScholarGoogle Scholar
  16. D. Monderer and L.S. Shapley. Potential games. Games and Economic Behavior, 14:124--143, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  17. M. Naor, B. Pinkas, and R. Sumner. Privacy Preserving Auctions and Mechanism Design. In Proceedings of EC99, pages 129--139, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. J.F. Nash. Equilibrium points in n-person games. Proceedings of the National Academy of Sciences of the United States of America, 36:48--49, 1950.Google ScholarGoogle ScholarCross RefCross Ref
  19. N. Nisan. Bidding and allocation in combinatorial auctions. In ACM Conference on Electronic Commerce, pages 1--12, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. N. Nisan and A. Ronen. Algorithmic mechanism design. Proceedings of STOC-99, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. C. H. Papadimitriou. Algorithms,Games,and the Internet. In STOC 2001, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. D. C. Parkes. ibundle: An efficient ascending price bundle auction. In ACM Conference on Electronic Commerce, pages 148--157, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Jeffrey S. Rosenschein and Gilad Zlotkin. Rules of Encounter. MIT Press, 1994.Google ScholarGoogle Scholar
  24. R.W. Rosenthal. A class of games possessing pure-strategy nash equilibria. International Journal of Game Theory, 2:65--67, 1973.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. T. Roughgarden. The price of anarchy is independent of the network topology. In Proceedings of the 34th Annual ACM Symposium on the Theory of Computing, pages 428--437, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. T. Roughgarden and E. Tardos. How bad in selfish routing? Journal of the ACM, 49(2):236--259, April 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. T. Sandholm, S. Suri, A. Gilpin, and D. Levine. Cabob: A fast optimal algorithm for combinatorial auctions. In 17th International Joint Conference on Artificial Intelligence, pages 1102--1108, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. I. Segal. Contracting with externalities. The Quarterly Journal of Economics, CXIV(2):337--388, May 1999.Google ScholarGoogle ScholarCross RefCross Ref
  29. Y. Shoham and M. Tennenholtz. On rational computability and communication complexity. Games and Economic Behavior, 35:197--211, 2001.Google ScholarGoogle ScholarCross RefCross Ref
  30. R. Spiegler. Extracting intercation-created surplus. Games and Economic Behavior, 30:142--162, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  31. M. Tennenholtz. Electronic commerce: From game-theoretic and economic models to working protocols. In IJCAI-99, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. W. Vickrey. Counterspeculations, auctions, and competitive sealed tenders. Journal of Finance, 16:15--27, 1961.Google ScholarGoogle ScholarCross RefCross Ref

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      • Published in

        cover image ACM Conferences
        EC '03: Proceedings of the 4th ACM conference on Electronic commerce
        June 2003
        292 pages
        ISBN:158113679X
        DOI:10.1145/779928

        Copyright © 2003 ACM

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        Publication History

        • Published: 9 June 2003

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