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Measuring conflict and power in strategic settings

  • Giovanni Rossi


    (Department of Computer Science, University of Bologna Mura Anteo Zamboni, Italy)

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    This is a quantitative approach to measuring conflict and power in strategic settings: noncooperative games (with cardinal or ordinal utilities) and blockings (without any preference specification). A (0, 1)-ranged index is provided, taking its minimum on common interest games, and its maximum on a newly introduced class termed “full conflict” games.

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    Article provided by Wroclaw University of Technology, Institute of Organization and Management in its journal Operations Research and Decisions.

    Volume (Year): 2 (2009)
    Issue (Month): ()
    Pages: 75-104

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    Handle: RePEc:wut:journl:v:2:y:2009:p:75-104
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    1. Aumann, Robert J. & Sorin, Sylvain, 1989. "Cooperation and bounded recall," Games and Economic Behavior, Elsevier, vol. 1(1), pages 5-39, March.
    2. Moulin, Hervé & Peleg, B., 1982. "Cores of effectivity functions and implementation theory," Economics Papers from University Paris Dauphine 123456789/13220, Paris Dauphine University.
    3. Tan, Jonathan H.W. & Zizzo, Daniel John, 2008. "Groups, cooperation and conflict in games," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 1-17, February.
    4. Luca Anderlini, 1995. "Communication, Computability and Common Interest Games," Game Theory and Information 9510003, EconWPA.
    5. van Damme, E.E.C., 2002. "Strategic equilibrium," Other publications TiSEM aac2f01c-517a-488c-93cd-a, Tilburg University, School of Economics and Management.
    6. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680.
    7. Gary Bornstein, 2002. "Intergroup conflict: Individual, group and collective interests," Discussion Paper Series dp297, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
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