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Playing strategically against nature? – Decisions viewed from a game-theoretic frame

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  • Martin Beckenkamp

    (Max Planck Institute for Research on Collective Goods, Bonn)

Abstract

Common research on decision-making investigates non-interdependent situations, i.e., “games against nature”. However, humans are social beings and many decisions are made in social settings, where they mutually influence each other, i.e., “strategic games”. Mathematical game theory gives a benchmark for rational decisions in such situations. The strategic character makes psychological decision-making more complex by introducing the outcomes for others as an additional attribute of that situation; it also broadens the field for potential coordination and cooperation problems. From an evolutionary point of view, behavior in strategic situations was at a competitive edge. This paper demonstrates that even in games against nature, people sometimes decide as if they were in a strategic game; it outlines theoretical and empirical consequences of such a shift of the frame. It examines whether some irrationalities of human decision-making might be explained by such a shift in grasping the situation. It concludes that the mixed strategies in games against nature demand a high expertise and can only be found in situations where these strategies improve the effects of minimax-strategies that are used in cases of risk-aversion.

Suggested Citation

  • Martin Beckenkamp, 2008. "Playing strategically against nature? – Decisions viewed from a game-theoretic frame," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_34, Max Planck Institute for Research on Collective Goods.
    • Handle: RePEc:mpg:wpaper:2008_34
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    References listed on IDEAS

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    1. Frank Heinemann & Rosemarie Nagel & Peter Ockenfels, 2009. "Measuring Strategic Uncertainty in Coordination Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(1), pages 181-221.
    2. Mark Walker & John Wooders, 2001. "Minimax Play at Wimbledon," American Economic Review, American Economic Association, vol. 91(5), pages 1521-1538, December.
    3. Ariel Rubinstein, 2007. "Instinctive and Cognitive Reasoning: A Study of Response Times," Economic Journal, Royal Economic Society, vol. 117(523), pages 1243-1259, October.
    4. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    5. Peter J. Boettke & David L. Prychitko (ed.), 1994. "The Market Process," Books, Edward Elgar Publishing, number 54.
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    Cited by:

    1. Jacek B. Krawczyk & Vladimir P. Petkov, 2022. "A Qualitative Game of Interest Rate Adjustments with a Nuisance Agent," Games, MDPI, vol. 13(5), pages 1-24, August.
    2. Justyna Hachoł & Elżbieta Bondar-Nowakowska & Paweł S. Hachaj, 2019. "Application of Game Theory against Nature in the Assessment of Technical Solutions Used in River Regulation in the Context of Aquatic Plant Protection," Sustainability, MDPI, vol. 11(5), pages 1-19, February.

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