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Partial Order Games

Author

Listed:
  • Valeria Zahoransky

    (Fachbereich Informatik, Université du Luxembourg, Maison du Nombre, 6 Avenue de la Fonte, L-4364 Esch-sur-Alzette, Luxembourg)

  • Julian Gutierrez

    (Faculty of Information Technology, Monash University, Woodside Building for Technology and Design, 20 Exhibition Walk, Clayton, VIC 3168, Australia)

  • Paul Harrenstein

    (Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK)

  • Michael Wooldridge

    (Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, UK)

Abstract

We introduce a non-cooperative game model in which players’ decision nodes are partially ordered by a dependence relation, which directly captures informational dependencies in the game. In saying that a decision node v is dependent on decision nodes v 1 , … , v k , we mean that the information available to a strategy making a choice at v is precisely the choices that were made at v 1 , … , v k . Although partial order games are no more expressive than extensive form games of imperfect information (we show that any partial order game can be reduced to a strategically equivalent extensive form game of imperfect information, though possibly at the cost of an exponential blowup in the size of the game), they provide a more natural and compact representation for many strategic settings of interest. After introducing the game model, we investigate the relationship to extensive form games of imperfect information, the problem of computing Nash equilibria, and conditions that enable backwards induction in this new model.

Suggested Citation

  • Valeria Zahoransky & Julian Gutierrez & Paul Harrenstein & Michael Wooldridge, 2021. "Partial Order Games," Games, MDPI, vol. 13(1), pages 1-49, December.
  • Handle: RePEc:gam:jgames:v:13:y:2021:i:1:p:2-:d:707690
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    References listed on IDEAS

    as
    1. Koller, Daphne & Milch, Brian, 2003. "Multi-agent influence diagrams for representing and solving games," Games and Economic Behavior, Elsevier, vol. 45(1), pages 181-221, October.
    2. Martin J. Osborne & Ariel Rubinstein, 1994. "A Course in Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262650401, December.
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