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An algorithm for proper rationalizability

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  • Perea, Andrés

Abstract

Proper rationalizability ([Schuhmacher, 1999] and [Asheim, 2001]) is a concept in epistemic game theory based on the following two conditions: (a) a player should be cautious, that is, should not exclude any opponent's strategy from consideration; and (b) a player should respect the opponents' preferences, that is, should deem an opponent's strategy si infinitely more likely than if he believes the opponent to prefer si to . A strategy is properly rationalizable if it can optimally be chosen under common belief in the events (a) and (b). In this paper we present an algorithm that for every finite game computes the set of all properly rationalizable strategies. The algorithm is based on the new idea of a preference restriction, which is a pair (si,Ai) consisting of a strategy si, and a subset of strategies Ai, for player i. The interpretation is that player i prefers some strategy in Ai to si. The algorithm proceeds by successively adding preference restrictions to the game.

Suggested Citation

  • Perea, Andrés, 2011. "An algorithm for proper rationalizability," Games and Economic Behavior, Elsevier, vol. 72(2), pages 510-525, June.
    • Handle: RePEc:eee:gamebe:v:72:y:2011:i:2:p:510-525
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    References listed on IDEAS

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    Cited by:

    1. Geir B. Asheim & Andrés Perea, 2019. "Algorithms for cautious reasoning in games," International Journal of Game Theory, Springer;Game Theory Society, vol. 48(4), pages 1241-1275, December.
    2. Christian Bach & Andrés Perea, 2014. "Utility proportional beliefs," International Journal of Game Theory, Springer;Game Theory Society, vol. 43(4), pages 881-902, November.
    3. Dekel, Eddie & Siniscalchi, Marciano, 2015. "Epistemic Game Theory," Handbook of Game Theory with Economic Applications,, Elsevier.
    4. Tsakas, Elias, 2014. "Epistemic equivalence of extended belief hierarchies," Games and Economic Behavior, Elsevier, vol. 86(C), pages 126-144.

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