Skip to main content
Log in

Autonomous coalitions

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

We consider in this paper solutions for TU-games where it is not assumed that the grand coalition is necessarily the final state of cooperation. Partitions of the grand coalition, or balanced collections together with a system of balancing weights interpreted as a time allocation vector are considered as possible states of cooperation. The former case corresponds to the c-core, while the latter corresponds to the aspiration core or d-core, where in both case, the best configuration (called a maximising collection) is sought. We study maximising collections and characterize them with autonomous coalitions, that is, coalitions for which any solution of the d-core yields a payment for that coalition equal to its worth. In particular we show that the collection of autonomous coalitions is balanced, and that one cannot have at the same time a single possible payment (core element) and a single possible configuration. We also introduce the notion of inescapable coalitions, that is, those present in every maximising collection. We characterize the class of games for which the sets of autonomous coalitions, vital coalitions (in the sense of Shellshear and Sudhölter), and inescapable coalitions coincide, and prove that the set of games having a unique maximising coalition is dense in the set of games.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Although usually it is interpreted as an amount of resources (Kannai 1992).

  2. See also Albers (1974) and Turbay (1977).

  3. More precisely a maximising collection of strongly vital-exact coalitions.

References

  • Albers, W. (1974). Zwei Lösungskonzepte für kooperative Mehrpersonenspiele, die auf Anspruchsnivaus der Spieler basieren. OR-Verfahren/ Methods of Operations Research, XVIII, 1–8.

  • Albers, W. (1979). Core- and kernel-variants based on imputations and demand profiles. In O. Moeschlin & D. Pallaschke (Eds.), Game theory and related topics. Amsterdam: North-Holland.

    Google Scholar 

  • Bejan, C., & Gómez, J. C. (2012a). Using the aspiration core to predict coalition formation. International Game Theory Review, 14(01), 1250004.

  • Bejan, C., & Gómez, J. C. (2012b). Axiomatizing core extensions. International Journal of Game Theory, 41(4), 885–898.

  • Bennett, E. (1983). The aspiration approach to predicting coalition formation and payoff distribution in sidepayment games. International Journal of Game Theory, 12(1), 1–28.

    Article  Google Scholar 

  • Berge, C. (1959). Espaces topologiques. Paris: Dunod.

    Google Scholar 

  • Bondareva, O. (1963). Some applications of linear programming methods to the therory of cooperative games. Problemy Kibernetiki, 10, 119–139.

    Google Scholar 

  • Cesco, J. C. (2012). Nonempty core-type solutions over balanced coalitions in tu-games. International Game Theory Review, 14(03), 1250018.

  • Cross, J. (1967). Some economic characteristics of economic and political coalitions. Journal of Conflict Resolution, 11, 184–195.

    Article  Google Scholar 

  • Derks, J., & Peters, H. (1998). Orderings, excess functions, and the nucleolus. Mathematical Social Sciences, 36(2), 175–182.

    Article  Google Scholar 

  • Gillies, D. (1953). Some theorems on \(n\)-person games. PhD thesis, Princeton, New Jersey.

  • Gillies, D. (1959). Solutions to general non-zero-sum games. Contributions to the Theory of Games, 4, 47–85.

    Google Scholar 

  • Gonzalez, S., & Grabisch, M. (2015). Preserving coalitional rationality for non-balanced games. International Journal of Game Theory, 44(3), 733–760.

    Article  Google Scholar 

  • Grabisch, M., & Miranda, P. (2008). On the vertices of the \(k\)-additive core. Discrete Mathematics, 308, 5204–5217.

    Article  Google Scholar 

  • Guesnerie, R., & Oddou, C. (1979). On economic games which are not necessarily superadditive: Solution concept and application to a local public good problem with few a agents. Economics Letters, 3, 301–306.

    Article  Google Scholar 

  • Kannai, Y. (1992). The core and balancedness. In R. J. Aumann & S. Hart (Eds.), Handbook of Game Theory, Chap. 12 (pp. 355–395). North-Holland: Amsterdam.

  • Peleg, B., & Sudhölter, P. (2003). Introduction to the theory of cooperative games. New York: Kluwer.

    Book  Google Scholar 

  • Shapley, L. S. (1967). On balanced sets and cores. Naval Research Logistics Quaterly, 14, 453–460.

    Article  Google Scholar 

  • Shellshear, E., & Sudhölter, P. (2009). On core stability, vital coalitions, and extendability. Games and Economic Behavior, 67, 633–644.

    Article  Google Scholar 

  • Sun, N., Trockel, W., & Yang, Z. (2008). Competitive outcomes and endogenous coalition formation in an n-person game. Journal of Mathematical Economics, 44, 853–860.

    Article  Google Scholar 

  • Turbay, G. (1977). On value theories for n-person cooperative games. PhD thesis, Rice University, Houston, TX.

  • Zumsteg, S. M. (1995). Non-Cooperative Aspects of Cooperative Game Theory and Related Computational Problems. PhD thesis, Eidgenossischen Technischen Hochschule Zurich.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stéphane Gonzalez.

Additional information

We wish to thank Peter Sudhölter for his helpful comments.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gonzalez, S., Grabisch, M. Autonomous coalitions. Ann Oper Res 235, 301–317 (2015). https://doi.org/10.1007/s10479-015-1951-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-015-1951-0

Keywords

JEL Classification

Navigation