IDEAS home Printed from https://ideas.repec.org/p/jau/wpaper/2021-10.html
   My bibliography  Save this paper

The “Human Factor” in Prisoner’s Dilemma Cooperation

Author

Listed:
  • Iván Barreda-Tarrazona

    (LEE and Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Ainhoa Jaramillo-Gutiérrez

    (LEE and Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Marina Pavan

    (LEE & Economics Department, Universitat Jaume I, Castellón-Spain)

  • Gerardo Sabater-Grande

    (LEE and Department of Economics, Universitat Jaume I, Castellón, Spain)

Abstract

We design a rich setting to study cooperation in the finitely Repeated Prisoners’ Dilemma (RPD), controlling for beliefs, emotions, and personal characteristics. In the baseline, the subjects play one-shot and repeated games with other human subjects. In the treatment, participants play against an artificial intelligence (AI) trained upon data from the previous “all human” sessions to mimic human decisions. We design the experiment so that our sessions are homogeneous in terms of gender composition, altruism, and reasoning ability. In all games, we elicit players’ beliefs regarding cooperation using an incentive compatible method. Besides, after each individual decision, we collect self-reported information on the main reason for it (rational or emotional). We find that expectations of partner cooperation at the beginning of each task are not significantly different between treatments. Despite this, we observe that initial human cooperation is actually much higher with other humans than with an AI. Cooperation continues to be higher in all periods of the RPD tasks: cooperation rates range between 60% and 80% in the baseline, while they range between 20% and 40% in the AI treatment. Last, decisions appear to be less emotion-driven in the AI treatment. Lack of empathy with, rather than fear of, the machine seems to be driving the results.

Suggested Citation

  • Iván Barreda-Tarrazona & Ainhoa Jaramillo-Gutiérrez & Marina Pavan & Gerardo Sabater-Grande, 2021. "The “Human Factor” in Prisoner’s Dilemma Cooperation," Working Papers 2021/10, Economics Department, Universitat Jaume I, Castellón (Spain).
  • Handle: RePEc:jau:wpaper:2021/10
    as

    Download full text from publisher

    File URL: http://www.doctreballeco.uji.es/wpficheros/Barreda_et_al_10_2021.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Matthew Embrey & Guillaume R Fréchette & Sevgi Yuksel, 2018. "Cooperation in the Finitely Repeated Prisoner’s Dilemma," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 509-551.
    2. Andreoni, James A & Miller, John H, 1993. "Rational Cooperation in the Finitely Repeated Prisoner's Dilemma: Experimental Evidence," Economic Journal, Royal Economic Society, vol. 103(418), pages 570-585, May.
    3. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    4. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    5. Schniter, E. & Shields, T.W. & Sznycer, D., 2020. "Trust in humans and robots: Economically similar but emotionally different," Journal of Economic Psychology, Elsevier, vol. 78(C).
    6. Brice Corgnet, 2018. "Rac(g)e Against the Machine? Social Incentives When Humans Meet Robots," Post-Print halshs-01984467, HAL.
    7. Gogoll, Jan & Uhl, Matthias, 2018. "Rage against the machine: Automation in the moral domain," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 97-103.
    8. Daniel Houser & Robert Kurzban, 2002. "Revisiting Kindness and Confusion in Public Goods Experiments," American Economic Review, American Economic Association, vol. 92(4), pages 1062-1069, September.
    9. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human..," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2101, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    10. Duffy, John & Xie, Huan, 2016. "Group size and cooperation among strangers," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 55-74.
    11. Marc T. P. Adam & Timm Teubner & Henner Gimpel, 2018. "No Rage Against the Machine: How Computer Agents Mitigate Human Emotional Processes in Electronic Negotiations," Group Decision and Negotiation, Springer, vol. 27(4), pages 543-571, August.
    12. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human ... Dialogue and cooperation in human-robot interactions," Papers 2104.11652, arXiv.org, revised May 2021.
    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. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    2. March, Christoph, 2019. "The behavioral economics of artificial intelligence: Lessons from experiments with computer players," BERG Working Paper Series 154, Bamberg University, Bamberg Economic Research Group.
    3. Brice Corgnet, 2023. "An Experimental Test of Algorithmic Dismissals," Working Papers 2302, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    5. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    6. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    7. Victor Klockmann & Alicia von Schenk & Marie Claire Villeval, 2021. "Artificial Intelligence, Ethics, and Diffused Pivotality," Working Papers 2111, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    8. Urs Fischbacher & Simon Gaechter, 2008. "Heterogeneous Social Preferences And The Dynamics Of Free Riding In Public Good Experiments," Discussion Papers 2008-07, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    9. Tse, Tiffany Tsz Kwan & Hanaki, Nobuyuki & Mao, Bolin, 2024. "Beware the performance of an algorithm before relying on it: Evidence from a stock price forecasting experiment," Journal of Economic Psychology, Elsevier, vol. 102(C).
    10. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    11. Potters, Jan & Suetens, Sigrid, 2020. "Optimization incentives in dilemma games with strategic complementarity," European Economic Review, Elsevier, vol. 127(C).
    12. Argenton, Cédric & Ivanova-Stenzel, Radosveta & Müller, Wieland, 2024. "Cournot meets Bayes-Nash: A discontinuity in behavior in finitely repeated duopoly games," Games and Economic Behavior, Elsevier, vol. 144(C), pages 1-12.
    13. Corgnet, Brice & Hernán-González, Roberto & Mateo, Ricardo, 2023. "Peer effects in an automated world," Labour Economics, Elsevier, vol. 85(C).
    14. Cox, Caleb A. & Stoddard, Brock, 2018. "Strategic thinking in public goods games with teams," Journal of Public Economics, Elsevier, vol. 161(C), pages 31-43.
    15. Brice Corgnet & Brian Gunia & Roberto Hernán González, 2021. "Harnessing the power of social incentives to curb shirking in teams," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(1), pages 139-167, February.
    16. Ernesto Reuben & Sigrid Suetens, 2018. "Instrumental Reciprocity as an Error," Games, MDPI, vol. 9(3), pages 1-9, September.
    17. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    18. Shachat, Jason & Swarthout, J. Todd, 2012. "Learning about learning in games through experimental control of strategic interdependence," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 383-402.
    19. Fulin Guo, 2023. "GPT in Game Theory Experiments," Papers 2305.05516, arXiv.org, revised Dec 2023.
    20. Ghidoni, Riccardo & Cleave, Blair L. & Suetens, Sigrid, 2019. "Perfect and imperfect strangers in social dilemmas," European Economic Review, Elsevier, vol. 116(C), pages 148-159.

    More about this item

    Keywords

    cooperation; prisoner’s dilemma; artificial intelligence; experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

    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:jau:wpaper:2021/10. 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: María Aurora Garcia Gallego (email available below). General contact details of provider: https://edirc.repec.org/data/ueujies.html .

    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.