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A Derivation of Expected Utility Maximization in the Context of a Game

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  • Gilboa, I.
  • Schmeidler, D.

Abstract

A decision maker faces a decision problem, or a game against nature. For each probability distribution over the state of the world (nature`s strategies), she has a weak order over her acts (pure strategies). We formulate conditions on these weak orders guaranteeing that they can be jointly represented by expected utility maximization with respect to an almost-unique state-dependent utility, that is, a matrix assigning real numbers to act-state pairs.

Suggested Citation

  • Gilboa, I. & Schmeidler, D., 2001. "A Derivation of Expected Utility Maximization in the Context of a Game," Papers 2001-18, Tel Aviv.
  • Handle: RePEc:fth:teavfo:2001-18
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mehmet S. Ismail & Ronald Peeters, 2023. "Social preferences and expected utility," Papers 2312.06048, arXiv.org.
    2. Brandl, Florian & Brandt, Felix, 2019. "Justifying optimal play via consistency," Theoretical Economics, Econometric Society, vol. 14(4), November.
    3. Pierfrancesco Guarino, 2023. "Revealing Sequential Rationality and Forward Induction," Papers 2312.03536, arXiv.org.
    4. Azrieli, Yaron, 2011. "Axioms for Euclidean preferences with a valence dimension," Journal of Mathematical Economics, Elsevier, vol. 47(4-5), pages 545-553.
    5. Florian Brandl & Felix Brandt, 2023. "A Robust Characterization of Nash Equilibrium," Papers 2307.03079, arXiv.org.
    6. O'Callaghan, Patrick, 2016. "Parametric continuity from preferences when the topology is weak and actions are discrete," MPRA Paper 72356, University Library of Munich, Germany.
    7. O'Callaghan, Patrick, 2011. "Context and Decision: Utility on a Union of Mixture Spaces," Economic Research Papers 270751, University of Warwick - Department of Economics.
    8. O'Callaghan, Patrick, 2016. "Minimal conditions for parametric continuity and stable policy in extreme settings," MPRA Paper 70989, University Library of Munich, Germany.
    9. O'Callaghan, Patrick, 2013. "Ordinal, nonlinear context dependence," Risk and Sustainable Management Group Working Papers 152450, University of Queensland, School of Economics.
    10. Castillo, Marco E. & Cross, Philip J., 2008. "Of mice and men: Within gender variation in strategic behavior," Games and Economic Behavior, Elsevier, vol. 64(2), pages 421-432, November.
    11. Marciano Siniscalchi, 2022. "Structural Rationality in Dynamic Games," Econometrica, Econometric Society, vol. 90(5), pages 2437-2469, September.
    12. Castillo, Marco E. & Cross, Philip J. & Freer, Mikhail, 2019. "Nonparametric utility theory in strategic settings: Revealing preferences and beliefs from proposal–response games," Games and Economic Behavior, Elsevier, vol. 115(C), pages 60-82.
    13. Grant, Simon & Meneghel, Idione & Tourky, Rabee, 2016. "Savage games," Theoretical Economics, Econometric Society, vol. 11(2), May.
    14. O’Callaghan, Patrick H., 2017. "Axioms for parametric continuity of utility when the topology is coarse," Journal of Mathematical Economics, Elsevier, vol. 72(C), pages 88-94.
    15. O’Callaghan, Patrick, 2011. "Context and Decision: Utility on a Union of Mixture Spaces," The Warwick Economics Research Paper Series (TWERPS) 973, University of Warwick, Department of Economics.
    16. Chambers, Christopher P. & Hayashi, Takashi, 2012. "Choice and individual welfare," Journal of Economic Theory, Elsevier, vol. 147(5), pages 1818-1849.
    17. Li, Chen & Turmunkh, Uyanga & Wakker, Peter P., 2020. "Social and strategic ambiguity versus betrayal aversion," Games and Economic Behavior, Elsevier, vol. 123(C), pages 272-287.

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    More about this item

    Keywords

    GAMES ; DISTRIBUTION ; DECISION MAKING;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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