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Agent Failures in Totally Balanced Games and Convex Games

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7695))

Abstract

We examine the impact of independent agents failures on the solutions of cooperative games, focusing on totally balanced games and the more specific subclass of convex games. We follow the reliability extension model, recently proposed in [1] and show that a (approximately) totally balanced (or convex) game remains (approximately) totally balanced (or convex) when independent agent failures are introduced or when the failure probabilities increase. One implication of these results is that any reliability extension of a totally balanced game has a non-empty core. We propose an algorithm to compute such a core imputation with high probability. We conclude by outlining the effect of failures on non-emptiness of the core in cooperative games, especially in totally balanced games and simple games, thereby extending observations in [1].

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References

  1. Bachrach, Y., Meir, R., Feldman, M., Tennenholtz, M.: Solving cooperative reliability games. In: UAI, pp. 27–34 (2011)

    Google Scholar 

  2. Bachrach, Y., Meir, R., Jung, K., Kohli, P.: Coalitional structure generation in skill games (2010)

    Google Scholar 

  3. Bachrach, Y., Meir, R., Zuckerman, M., Rothe, J., Rosenschein, J.: The cost of stability in weighted voting games. In: AAMAS (2009)

    Google Scholar 

  4. Bala, V., Goyal, S.: A strategic analysis of network reliability. Review of Economic Design 5, 205–228 (2000)

    Article  Google Scholar 

  5. Billand, P., Bravard, C., Sarangi, S.: Nash networks with imperfect reliability and heterogeous players. IGTR 13(2), 181–194 (2011)

    MathSciNet  Google Scholar 

  6. Caillou, P., Aknine, S., Pinson, S.: Multi-agent models for searching pareto optimal solutions to the problem of forming and dynamic restructuring of coalitions. In: ECAI, pp. 13–17 (2002)

    Google Scholar 

  7. Chalkiadakis, G., Elkind, E., Wooldridge, M.: Computational aspects of cooperative game theory. Synth. Lect. on Artif. Intell. and Machine Learning (2011)

    Google Scholar 

  8. Chalkiadakis, G., Markakis, E., Boutilier, C.: Coalition formation under uncertainty: bargaining equilibria and the Bayesian core. In: AAMAS (2007)

    Google Scholar 

  9. Deng, X., Fang, Q., Sun, X.: Finding nucleolus of flow game. J. Comb. Opt. (2009)

    Google Scholar 

  10. Deng, X., Ibaraki, T., Nagamochi, H., Zang, W.: Totally balanced combinatorial optimization games. Math. Prog. 87, 441–452 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  11. Gillies, D.: Some Theorems on n-Person Games. PhD thesis, Princeton U. (1953)

    Google Scholar 

  12. Granot, D., Huberman, G.: Minimum cost spanning tree games. Math. Prog. 21, 1–18 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  13. Kalai, E., Zemel, E.: Totally balanced games and games of flow. MOR (1982)

    Google Scholar 

  14. Kannan, R., Sarangi, S., Iyengar, S.: A simple model for reliable query reporting in sensor networks. In: Information Fusion, vol. 2, pp. 1070–1075 (2002)

    Google Scholar 

  15. Kern, W., Paulusma, D.: Matching games: The least core and the nucleolus. MOR (2003)

    Google Scholar 

  16. Kuipers, J.: A Polynomial Time Algorithm for Computing the Nucleolus of Convex Games. Reports in Operations Research and Systems Theory (1996)

    Google Scholar 

  17. Myerson, R.B.: Game Theory: Analysis of Conflict. Harvard U. Press (1997)

    Google Scholar 

  18. Osborne, M., Rubinstein, A.: A course in game theory. The MIT press (1994)

    Google Scholar 

  19. Owen, G.: On the core of linear production games. Math. Prog. 9, 358–370 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  20. Penn, M., Polukarov, M., Tennenholtz, M.: Congestion games with failures. Discrete Applied Mathematics 159(15), 1508–1525 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  21. Resnick, E., Bachrach, Y., Meir, R., Rosenschein, J.S.: The Cost of Stability in Network Flow Games. In: Královič, R., Niwiński, D. (eds.) MFCS 2009. LNCS, vol. 5734, pp. 636–650. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  22. Sandholm, T., Lesser, V.: Coalitions among computationally bounded agents. Artif. Intell. 94(1-2), 99–137 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  23. Shapley, L.: Cores of convex games. IJGT 1, 11–26 (1971)

    MathSciNet  MATH  Google Scholar 

  24. Shapley, L., Shubik, M.: On market games. JET 1(1), 9–25 (1969)

    MathSciNet  Google Scholar 

  25. Shapley, L., Shubik, M.: The assignment game I: The core. IJGT 1, 111–130 (1971)

    MathSciNet  MATH  Google Scholar 

  26. Solymosi, T., Raghavan, T.: An algorithm for finding the nucleolus of assignment games. IJGT 23, 119–143 (1994)

    MathSciNet  MATH  Google Scholar 

  27. Tijs, S.H., Parthasarathy, T., Potters, J., Prasad, V.: Permutation games: Another class of totally balanced games. OR Spectrum 6, 119–123 (1984)

    Article  MATH  Google Scholar 

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Bachrach, Y., Kash, I., Shah, N. (2012). Agent Failures in Totally Balanced Games and Convex Games. In: Goldberg, P.W. (eds) Internet and Network Economics. WINE 2012. Lecture Notes in Computer Science, vol 7695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35311-6_2

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  • DOI: https://doi.org/10.1007/978-3-642-35311-6_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35310-9

  • Online ISBN: 978-3-642-35311-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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