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Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances

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Abstract

We study a network extension to the Nash bargaining game, as introduced by Kleinberg and Tardos [9], where the set of players corresponds to vertices in a graph G=(V,E) and each edge i jE represents a possible deal between players i and j. We reformulate the problem as a cooperative game and study the following question: Given a game with an empty core (i.e. an unstable game) is it possible, through minimal changes in the underlying network, to stabilize the game? We show that by removing edges in the network that belong to a blocking set we can find a stable solution in polynomial time. This motivates the problem of finding small blocking sets. While it has been previously shown that finding the smallest blocking set is NP-hard [3], we show that it is possible to efficiently find approximate blocking sets in sparse graphs.

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Notes

  1. We abuse notation slightly in this definition of s i j , and let s i j (x)=−x i if i has no neighbour other than j.

References

  1. Bachrach, Y., Elkind, E., Meir, R., Pasechnik, D., Zuckerman, M., Rothe, J., Rosenschein, J.: The cost of stability in coalitional games. In: Symposium on Algorithmic Game Theory, pp 122–134 (2009)

  2. Bateni, M., Hajiaghayi, M., Immorlica, N., Mahini, H.: The cooperative game theory foundations of network bargaining games. In: Proceedings of International Colloquium on Automata, Languages and Processing, pp 67–78 (2010)

  3. Biró, P., Kern, W., Paulusma, D.: On solution concepts for matching games. In: TAMC, pp 117–127 (2010)

  4. Bock, A., Chandrasekaran, K., Könemann, J., Peis, B., Sanità, L.: Finding small stabilizers for unstable graphs. In: Proceedings of MPS Conference on Integer Programming and Combinatorial Optimization (2013)

  5. Chakraborty, T., Kearns, M.: Bargaining solutions in social network. In: Fourth International Workshop on Internet and Network Economics (WINE), pp 548–555 (2008)

  6. Chalkiadakis, G., Elkind, E., Wooldridge, M.: Computational Aspects of Cooperative Game Theory. Morgan & Claypool Publishers, San Rafael, CA (2011)

    Google Scholar 

  7. Deng, X., Ibaraki, T., Nagamochi, H.: Algorithmic aspects of the core of combinatorial optimization games. Math. Oper. Res. 24(3), 751–766 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  8. Faigle, U., Kern, W., Kuipers, J.: An efficient algorithm for nucleolus and prekernel computation in some classes of tu-games. Tech. Rep. 1464, U. of Twente (1998)

  9. Kleinberg, J.M., Tardos, É.: Balanced outcomes in social exchange networks. In: Proceedings of ACM Symposium on Theory of Computing, pp 295–304 (2008)

  10. Lau, L.C., Ravi, R., Singh, M.: Iterative Methods in Combinatorial Optimization. Cambridge University Press, Cambridge, UK (2011)

    Book  MATH  Google Scholar 

  11. Mader, W.: Homomorphieeigenschaften und mittlere Kantendichte von Graphen. Math. Ann. 174(4), 265–268 (1967)

    Article  MATH  MathSciNet  Google Scholar 

  12. Nash, J.: The bargaining problem. Econometrica 18, 155–162 (1950)

    Article  MATH  MathSciNet  Google Scholar 

  13. Peleg, B., Sudhölter, P.: Introduction to the Theory of Cooperative Games. Springer, Berlin (2003)

    Book  Google Scholar 

  14. Schmeidler, D.: The nucleolus of a characteristic function game. SIAM J. Appl. Math. 17(6), 1163–1170 (1969)

    Article  MATH  MathSciNet  Google Scholar 

  15. Schrijver, A.: Theory of Linear and Integer Programming. Wiley, Chichester (1986)

    MATH  Google Scholar 

  16. Shapley, L.S., Shubik, M.: The assignment game : the core. Int. J. Game Theory 1(1), 111–130 (1971). doi:10.1007/BF01753437

    Article  MATH  MathSciNet  Google Scholar 

  17. Stearns, R.: Convergent transfer schemes for n-person games. Trans. Amer. Math. Soc. 134, 449–459 (1968)

    MATH  MathSciNet  Google Scholar 

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Acknowledgments

We thank the anonymous referees for their careful reading, and for the many detailed comments provided in their reports.

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Correspondence to Jochen Könemann.

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Könemann, J., Larson, K. & Steiner, D. Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances. Theory Comput Syst 57, 655–672 (2015). https://doi.org/10.1007/s00224-015-9650-4

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