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The Evolution of Strategic Sophistication

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Listed:
  • Nikolaus Robalino
  • Arthur Robson

Abstract

This paper investigates the evolutionary foundation for our ability to attribute preferences to others, an ability that is central to conventional game theory. We argue here that learning others' preferences allows individuals to efficiently modify their behavior in strategic environments with a persistent element of novelty. Agents with the ability to learn have a sharp, unambiguous advantage over those who are less sophisticated because the former agents extrapolate to novel circumstances information about opponents' preferences that was learned previously. This advantage holds even with a suitably small cost to reflect the additional cognitive complexity involved. (JEL C73, D11, D83)

Suggested Citation

  • Nikolaus Robalino & Arthur Robson, 2016. "The Evolution of Strategic Sophistication," American Economic Review, American Economic Association, vol. 106(4), pages 1046-1072, April.
    • Handle: RePEc:aea:aecrev:v:106:y:2016:i:4:p:1046-72
    Note: DOI: 10.1257/aer.20140105
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    References listed on IDEAS

    as
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    9. Camerer, Colin F. & Ho, Teck-Hua & Chong, Juin-Kuan, 2002. "Sophisticated Experience-Weighted Attraction Learning and Strategic Teaching in Repeated Games," Journal of Economic Theory, Elsevier, vol. 104(1), pages 137-188, May.
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    Citations

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    Cited by:

    1. Burkhard C. Schipper, 2022. "Strategic Teaching and Learning in Games," American Economic Journal: Microeconomics, American Economic Association, vol. 14(3), pages 321-352, August.
    2. Heller, Yuval & Mohlin, Erik, 2019. "Coevolution of deception and preferences: Darwin and Nash meet Machiavelli," Games and Economic Behavior, Elsevier, vol. 113(C), pages 223-247.
    3. Nax, Heinrich Harald & Newton, Jonathan, 2022. "Deep and shallow thinking in the long run," Theoretical Economics, Econometric Society, vol. 17(4), November.
    4. Burhan, Nik Ahmad Sufian & Che Razak, Razli & Salleh, Fauzilah & Labastida Tovar, María Elena, 2017. "The higher intelligence of the ‘creative minority’ provides the infrastructure for entrepreneurial innovation," Intelligence, Elsevier, vol. 65(C), pages 93-106.
    5. Kimbrough, Erik O. & Robalino, Nikolaus & Robson, Arthur J., 2017. "Applying “theory of mind”: Theory and experiments," Games and Economic Behavior, Elsevier, vol. 106(C), pages 209-226.
    6. Kets, Willemien & Sandroni, Alvaro, 2015. "Challenging Conformity: A Case for Diversity," MPRA Paper 68166, University Library of Munich, Germany.
    7. Burhan, Nik Ahmad Sufian & Che Razak, Razli & Rosli, Muhamad Ridhwan & Selamat, Muhamad Rosli, 2017. "The Bell Curve of Intelligence, Economic Growth and Technological Achievement: How Robust is the Cross-Country Evidence?," MPRA Paper 77469, University Library of Munich, Germany.
    8. Chiara Scarampi & Richard Fairchild & Luca Fumarco & Alberto Palermo & Neal Hinvest, 2021. "Social Metacognition: A Correlational Device for Strategic Interactions," Working Papers 2111, Tulane University, Department of Economics.
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    10. Burhan, Nik Ahmad Sufian & Che Razak, Razli & Salleh, Fauzilah & Labastida Tovar, María Elena, 2017. "Intelligence and the Ease of Doing Business: Does Intellectual Class Facilitate Leadership and Entrepreneurship?," MPRA Paper 77503, University Library of Munich, Germany.
    11. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    12. Dimitry Rtischev, 2016. "Evolution of Mindsight and Psychological Commitment among Strategically Interacting Agents," Games, MDPI, vol. 7(3), pages 1-16, September.
    13. Sheen S. Levine & Mark Bernard & Rosemarie Nagel, 2018. "Strategic intelligence: The cognitive capability to anticipate competitor behaviour," Strategic Management Journal, Wiley Blackwell, vol. 39(2), pages 527-527, February.
    14. Florian Gauer & Christoph Kuzmics, 2020. "Cognitive Empathy In Conflict Situations," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1659-1678, November.

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    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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