IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2205.15114.html
   My bibliography  Save this paper

Assortativity in cognition

Author

Listed:
  • Ennio Bilancini
  • Leonardo Boncinelli
  • Eugenio Vicario

Abstract

In pairwise interactions assortativity in cognition means that pairs where both decision-makers use the same cognitive process are more likely to occur than what happens under random matching. In this paper we study both the mechanisms determining assortativity in cognition and its effects. In particular, we analyze an applied model where assortativity in cognition helps explain the emergence of cooperation and the degree of prosociality of intuition and deliberation, which are the typical cognitive processes postulated by the dual process theory in psychology. Our findings rely on agent-based simulations, but analytical results are also obtained in a special case. We conclude with examples showing that assortativity in cognition can have different implications in terms of its societal desirability.

Suggested Citation

  • Ennio Bilancini & Leonardo Boncinelli & Eugenio Vicario, 2022. "Assortativity in cognition," Papers 2205.15114, arXiv.org.
    • Handle: RePEc:arx:papers:2205.15114
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2205.15114
    File Function: Latest version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ingela Alger & Jörgen W. Weibull, 2013. "Homo Moralis—Preference Evolution Under Incomplete Information and Assortative Matching," Econometrica, Econometric Society, vol. 81(6), pages 2269-2302, November.
    2. Jonathan Newton, 2017. "The preferences of Homo Moralis are unstable under evolving assortativity," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(2), pages 583-589, May.
    3. Sergio Currarini & Matthew O. Jackson & Paolo Pin, 2009. "An Economic Model of Friendship: Homophily, Minorities, and Segregation," Econometrica, Econometric Society, vol. 77(4), pages 1003-1045, July.
    4. Alós-Ferrer, Carlos & Garagnani, Michele, 2020. "The cognitive foundations of cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 71-85.
    5. Theodore C. Bergstrom, 2003. "The Algebra of Assortative Encounters and the Evolution of Cooperation," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 211-228.
    6. David G. Rand & Joshua D. Greene & Martin A. Nowak, 2012. "Spontaneous giving and calculated greed," Nature, Nature, vol. 489(7416), pages 427-430, September.
    7. David G. Rand & Alexander Peysakhovich & Gordon T. Kraft-Todd & George E. Newman & Owen Wurzbacher & Martin A. Nowak & Joshua D. Greene, 2014. "Social heuristics shape intuitive cooperation," Nature Communications, Nature, vol. 5(1), pages 1-12, May.
    8. Stephan Jagau & Matthijs van Veelen, 2017. "A general evolutionary framework for the role of intuition and deliberation in cooperation," Nature Human Behaviour, Nature, vol. 1(8), pages 1-6, August.
    9. Alger, Ingela & Weibull, Jörgen W., 2016. "Evolution and Kantian morality," Games and Economic Behavior, Elsevier, vol. 98(C), pages 56-67.
    10. Bilancini, Ennio & Boncinelli, Leonardo & Wu, Jiabin, 2018. "The interplay of cultural intolerance and action-assortativity for the emergence of cooperation and homophily," European Economic Review, Elsevier, vol. 102(C), pages 1-18.
    11. Nihal Koduri & Andrew W. Lo, 2021. "The origin of cooperation," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(26), pages 2015572118-, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ennio Bilancini & Leonardo Boncinelli & Alessandro Tampieri, 2021. "Strategy Assortativity and the Evolution of Parochialism," DEM Discussion Paper Series 21-20, Department of Economics at the University of Luxembourg.
    2. Jonathan Newton, 2018. "Evolutionary Game Theory: A Renaissance," Games, MDPI, vol. 9(2), pages 1-67, May.
    3. Jiabin Wu, 2020. "Labelling, homophily and preference evolution," International Journal of Game Theory, Springer;Game Theory Society, vol. 49(1), pages 1-22, March.
    4. Xu, Hedong & Fan, Suohai & Tian, Cunzhi & Xiao, Xinrong, 2019. "Effect of strategy-assortativity on investor sharing games in the market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 211-225.
    5. Rusch, Hannes, 2019. "The evolution of collaboration in symmetric 2×2-games with imperfect recognition of types," Games and Economic Behavior, Elsevier, vol. 114(C), pages 118-127.
    6. Alger, Ingela & Weibull, Jörgen W. & Lehmann, Laurent, 2020. "Evolution of preferences in structured populations: Genes, guns, and culture," Journal of Economic Theory, Elsevier, vol. 185(C).
    7. Alger, Ingela & Weibull, Jörgen W., 2016. "Morality: evolutionary foundations and policy implications," TSE Working Papers 16-702, Toulouse School of Economics (TSE).
    8. Wu, Jiabin, 2023. "Institutions, assortative matching and cultural evolution," European Journal of Political Economy, Elsevier, vol. 78(C).
    9. Nicola Campigotto, 2021. "Pairwise imitation and evolution of the social contract," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1333-1354, September.
    10. Ayoubi, Charles & Thurm, Boris, 2020. "Evolution and Heterogeneity of Social Preferences," OSF Preprints ucx8z, Center for Open Science.
    11. Bayer, Péter, 2023. "Evolutionarily stable networks," TSE Working Papers 23-1487, Toulouse School of Economics (TSE).
    12. Bilancini, Ennio & Boncinelli, Leonardo & Wu, Jiabin, 2018. "The interplay of cultural intolerance and action-assortativity for the emergence of cooperation and homophily," European Economic Review, Elsevier, vol. 102(C), pages 1-18.
    13. Alós-Ferrer, Carlos & Garagnani, Michele, 2020. "The cognitive foundations of cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 71-85.
    14. Amanda Kvarven & Eirik Strømland & Conny Wollbrant & David Andersson & Magnus Johannesson & Gustav Tinghög & Daniel Västfjäll & Kristian Ove R. Myrseth, 2020. "The intuitive cooperation hypothesis revisited: a meta-analytic examination of effect size and between-study heterogeneity," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 26-42, June.
    15. Anna Louisa Merkel & Johannes Lohse, 2019. "Is fairness intuitive? An experiment accounting for subjective utility differences under time pressure," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 24-50, March.
    16. Newton, Jonathan, 2017. "Shared intentions: The evolution of collaboration," Games and Economic Behavior, Elsevier, vol. 104(C), pages 517-534.
    17. Alexandros Rigos & Heinrich H. Nax, 2015. "Assortativity evolving from social dilemmas," Discussion Papers in Economics 15/19, Division of Economics, School of Business, University of Leicester.
    18. Alger, Ingela, 2022. "Evolutionarily stable preferences," TSE Working Papers 22-1355, Toulouse School of Economics (TSE), revised Dec 2022.
    19. Wu, Jiabin, 2017. "Political institutions and the evolution of character traits," Games and Economic Behavior, Elsevier, vol. 106(C), pages 260-276.
    20. Strømland, Eirik & Torsvik, Gaute, 2019. "Intuitive Prosociality: Heterogeneous Treatment Effects or False Positive?," OSF Preprints hrx2y, Center for Open Science.

    More about this item

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2205.15114. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.