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Computing Superdifferentials of Lovász Extension with Application to Coalitional Games

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Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2016)

Abstract

Every coalitional game can be extended from the powerset onto the real unit cube. One of possible approaches is the Lovász extension, which is the same as the discrete Choquet integral with respect to the coalitional game. We will study some solution concepts for coalitional games (core, Weber set) using superdifferentials developed in non-smooth analysis. It has been shown that the core coincides with Fréchet superdifferential and the Weber set with Clarke superdifferential for the Lovász extension, respectively. We introduce the intermediate set as the limiting superdifferential and show that it always lies between the core and the Weber set. From the game-theoretic point of view, the intermediate set is a non-convex solution containing the Pareto optimal payoff vectors, which depend on some ordered partition of the players and the marginal coalitional contributions with respect to the order.

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Notes

  1. 1.

    We may occasionally switch to a simplified notation for coalitions, writing ij in place of \(\{i,j\}\) and similarly.

References

  1. Adam, L., Kroupa, T.: The intermediate set and limiting superdifferential for coalition games: between the core and the Weber set. Submitted to International Journal of Game Theory (2015). http://arxiv.org/abs/1504.08195

  2. Clarke, F.: Functional Analysis, Calculus of Variations and Optimal Control. Graduate Texts in Mathematics, vol. 264. Springer, London (2013)

    MATH  Google Scholar 

  3. Danilov, V., Koshevoy, G.: Cores of cooperative games, superdifferentials of functions, and the Minkowski difference of sets. J. Math. Anal. Appl. 247(1), 1–14 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  4. Grabisch, M.: Set functions over finite sets: transformations and integrals. In: Pap, E. (ed.) Handbook of Measure Theory, vol. II, pp. 1381–1401. Elsevier, Amsterdam (2002)

    Chapter  Google Scholar 

  5. Ichiishi, T.: Super-modularity: applications to convex games and to the greedy algorithm for LP. J. Econ. Theory 25(2), 283–286 (1981)

    Article  MathSciNet  MATH  Google Scholar 

  6. Lovász, L.: Submodular functions and convexity. In: Bachem, A., Korte, B., Grötschel, M. (eds.) Mathematical Programming: The State of the Art, pp. 235–257. Springer, Berlin (1983)

    Chapter  Google Scholar 

  7. Maschler, M., Solan, E., Zamir, S.: Game Theory. Cambridge University Press, Cambridge (2013)

    Book  MATH  Google Scholar 

  8. Mordukhovich, B.S.: Variational Analysis and Generalized Differentiation I. Springer, Heidelberg (2006)

    Google Scholar 

  9. Owen, G.: Game Theory, 3rd edn. Academic Press Inc., San Diego (1995)

    MATH  Google Scholar 

  10. Peleg, B., Sudhölter, P.: Introduction to the Theory of Cooperative Games. Theory and Decision Library. Series C: Game Theory, Mathematical Programming and Operations Research, vol. 34, 2nd edn. Springer, Berlin (2007)

    MATH  Google Scholar 

  11. Rockafellar, R.T.: Convex Analysis. Princeton University Press, Princeton (1970)

    Book  MATH  Google Scholar 

  12. Rockafellar, R.T., Wets, R.J.-B.: Variational Analysis. Springer, Heidelberg (1998)

    Book  MATH  Google Scholar 

  13. Sagara, N.: Cores and Weber sets for fuzzy extensions of cooperative games. Fuzzy Sets Syst. 272, 102–114 (2015)

    Article  MathSciNet  Google Scholar 

  14. Shapley, L.S.: Cores of convex games. Int. J. Game Theory 1, 11–26 (1972)

    Article  MathSciNet  MATH  Google Scholar 

  15. Weber, R.J.: Probabilistic values for games. In Roth, A. E., editor, The Shapley Value. Essays in Honor of Lloyd S. Shapley, 101–120. Cambridge University Press (1988)

    Google Scholar 

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Acknowledgments

L. Adam gratefully acknowledges the support from the Grant Agency of the Czech Republic (15-00735S). The work of T. Kroupa was supported by Marie Curie Intra-European Fellowship OASIG (PIEF-GA-2013-622645).

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Correspondence to Tomáš Kroupa .

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Adam, L., Kroupa, T. (2016). Computing Superdifferentials of Lovász Extension with Application to Coalitional Games. In: Carvalho, J., Lesot, MJ., Kaymak, U., Vieira, S., Bouchon-Meunier, B., Yager, R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2016. Communications in Computer and Information Science, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-40596-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-40596-4_4

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