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Creative cognition as a bandit problem

Author

Listed:
  • Louis Lévy-Garboua

    (UP1 - Université Paris 1 Panthéon-Sorbonne, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, CIRANO - Centre interuniversitaire de recherche en analyse des organisations - UQAM - Université du Québec à Montréal = University of Québec in Montréal)

  • Marco Gazel

    (NEOMA - Neoma Business School)

  • Noémi Berlin

    (EconomiX - EconomiX - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique)

  • Jan Dul

    (Rotterdam School of Management - RSM Erasmus University)

  • Todd Lubart

    (UPCité - Université Paris Cité, LaPEA - UMR_T 7708 - Laboratoire de Psychologie et d’Ergonomie Appliquées - UPCité - Université Paris Cité - Université Gustave Eiffel)

Abstract

This paper draws a parallel between creative cognition and a multi-armed bandit problem involving learning from experience in an uncertain environment. Special emphasis is put on the optimal sequencing of divergent and convergent behavior by showing that divergence must be inhibited at one point to converge toward creative behavior so that excessive divergence is counterproductive. We test this hypothesis with a behavioral experiment, using measures of individual divergence and convergence components of creative potential in high school students. Results confirmed that a mix of divergence and convergence predicted high performance in a bandit task but not in a purely random task or in a simple repetitive task. These predictions are maintained after controlling for sex, personality, incentives, and other factors. As hypothesized, creative cognition was necessary for high performance under the appropriate conditions. However, it was not necessary to get high grades in a traditional school system.

Suggested Citation

  • Louis Lévy-Garboua & Marco Gazel & Noémi Berlin & Jan Dul & Todd Lubart, 2024. "Creative cognition as a bandit problem," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-04645315, HAL.
  • Handle: RePEc:hal:cesptp:halshs-04645315
    DOI: 10.1016/j.lindif.2024.102438
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    References listed on IDEAS

    as
    1. Noémi Berlin & Jean-Louis Tavani & Maud Beasançon, 2016. "An exploratory study of creativity, personality and schooling achievement," Education Economics, Taylor & Francis Journals, vol. 24(5), pages 536-556, September.
    2. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    3. Giuseppe Attanasi & Michela Chessa & Sara Gil-Gallen & Patrick Llerena, 2021. "A survey on experimental elicitation of creativity in economics," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 273-324.
    4. Levy-Garboua, Louis & Loheac, Youenn & Fayolle, Bertrand, 2006. "Preference formation, school dissatisfaction and risky behavior of adolescents," Journal of Economic Psychology, Elsevier, vol. 27(1), pages 165-183, February.
    5. Gary Charness & Daniela Grieco, 2019. "Creativity and Incentives," Journal of the European Economic Association, European Economic Association, vol. 17(2), pages 454-496.
    6. Bill Lucas & Guy Claxton & Ellen Spencer, 2013. "Progression in Student Creativity in School: First Steps Towards New Forms of Formative Assessments," OECD Education Working Papers 86, OECD Publishing.
    7. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    8. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    9. Karwowski, Maciej & Kaufman, James C. & Lebuda, Izabela & Szumski, Grzegorz & Firkowska-Mankiewicz, Anna, 2017. "Intelligence in childhood and creative achievements in middle-age: The necessary condition approach," Intelligence, Elsevier, vol. 64(C), pages 36-44.
    10. Noémi Berlin & Jean-Louis Tavani & Maud Besançon, 2016. "An exploratory study of creativity, personality and schooling achievement," Post-Print hal-01392470, HAL.
    11. Lipshitz, Raanan & Strauss, Orna, 1997. "Coping with Uncertainty: A Naturalistic Decision-Making Analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(2), pages 149-163, February.
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    Cited by:

    1. Charness, Gary & Le Bihan, Yves & Villeval, Marie Claire, 2024. "Mindfulness training, cognitive performance and stress reduction," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 207-226.

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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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