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Cognitive Load and Mixed Strategies: On Brains and Minimax

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Listed:
  • Sean Duffy

    (Department of Psychology, Rutgers University-Camden, Camden, NJ 08102, USA)

  • J. J. Naddeo

    (Department of Economics, Georgetown University, Washington, DC 20057, USA)

  • David Owens

    (Department of Economics, Haverford College, Haverford, PA 19041, USA)

  • John Smith

    (Department of Economics, Rutgers University-Camden, 311 North 5th Street, Camden, NJ 08102, USA)

Abstract

It is well known that laboratory subjects often do not play mixed strategy equilibria games according to the theoretical predictions. However, little is known about the role of cognition in these strategic settings. We therefore conduct an experiment where subjects play a repeated hide and seek game against a computer opponent. Subjects play with either fewer available cognitive resources (high cognitive load treatment) or with more available cognitive resources (low cognitive load treatment). Surprisingly, we find some evidence that subjects in the high load treatment earn more than subjects in the low treatment. However, we also find that subjects in the low treatment exhibit a greater rate of increase in earnings across rounds, thus suggesting more learning. Our evidence is consistent with subjects in the low load treatment over-experimenting. Further, while we observe that subjects do not mix in the predicted proportions and that their actions exhibit serial correlation, we do not find strong evidence these are related to their available cognitive resources. This suggests that the standard laboratory deviations from the theoretical predictions are not associated with the availability of cognitive resources. Our results shed light on the extent to which cognitive resources affect (and do not affect) behavior in games with mixed strategy equilibria.

Suggested Citation

  • Sean Duffy & J. J. Naddeo & David Owens & John Smith, 2024. "Cognitive Load and Mixed Strategies: On Brains and Minimax," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 26(03), pages 1-34, September.
  • Handle: RePEc:wsi:igtrxx:v:26:y:2024:i:03:n:s021919892450004x
    DOI: 10.1142/S021919892450004X
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    Cited by:

    1. Allred, Sarah & Duffy, Sean & Smith, John, 2016. "Cognitive load and strategic sophistication," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 162-178.
    2. Anja Achtziger & Carlos Alós-Ferrer & Alexander Ritschel, 2020. "Cognitive load in economic decisions," ECON - Working Papers 354, Department of Economics - University of Zurich.

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    More about this item

    Keywords

    Bounded rationality; experimental economics; working memory load; cognition; learning; over-experimentation;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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