IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2013-87-3.html
   My bibliography  Save this article

Punishment Mechanisms and Their Effect on Cooperation: A Simulation Study

Author

Listed:

Abstract

In social dilemmas punishment costs resources, not just from the one who is punished but often also from the punisher and society. Reciprocity on the other side is known to lead to cooperation without the costs of punishment. The questions at hand are whether punishment brings advantages besides its costs, and how its negative side-effects can be reduced to a minimum in an environment populated by agents adopting a form of reciprocity. Various punishment mechanisms have been studied in the economic literature such as unrestricted punishment, legitimate punishment, cooperative punishment, and the hired gun mechanism. In this study all these mechanisms are implemented in a simulation where agents can share resources and may decide to punish other agents when the other agents do not share. Through evolutionary learning agents adapt their sharing/punishing policy. When the availability of resources was restricted, punishment mechanisms in general performed better than no-punishment, although unrestricted punishment was performing worse. When resource availability was high, performance was better in no-punishment conditions with indirect reciprocity. Unrestricted punishment was always the worst performing mechanism. Summarized, this paper shows that, in certain environments, some punishment mechanisms can improve the efficiency of cooperation even if the cooperating system is already based on indirect reciprocity.

Suggested Citation

  • Mike Farjam & Marco Faillo & Ida Sprinkhuizen-Kuyper & Pim Haselager, 2015. "Punishment Mechanisms and Their Effect on Cooperation: A Simulation Study," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-5.
  • Handle: RePEc:jas:jasssj:2013-87-3
    as

    Download full text from publisher

    File URL: https://www.jasss.org/18/1/5/5.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Faillo, Marco & Grieco, Daniela & Zarri, Luca, 2013. "Legitimate punishment, feedback, and the enforcement of cooperation," Games and Economic Behavior, Elsevier, vol. 77(1), pages 271-283.
    2. Berg, Andrew & Ostry, Jonathan D. & Zettelmeyer, Jeromin, 2012. "What makes growth sustained?," Journal of Development Economics, Elsevier, vol. 98(2), pages 149-166.
    3. Hang Ye & Fei Tan & Mei Ding & Yongmin Jia & Yefeng Chen, 2011. "Sympathy and Punishment: Evolution of Cooperation in Public Goods Game," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(4), pages 1-20.
    4. Henrich, Joseph, 2004. "Cultural group selection, coevolutionary processes and large-scale cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 53(1), pages 3-35, January.
    5. Drew Fudenberg & David K. Levine, 2008. "Efficiency and Observability with Long-Run and Short-Run Players," World Scientific Book Chapters, in: Drew Fudenberg & David K Levine (ed.), A Long-Run Collaboration On Long-Run Games, chapter 13, pages 275-307, World Scientific Publishing Co. Pte. Ltd..
    6. Ernst Fehr & Simon Gächter, 2002. "Altruistic punishment in humans," Nature, Nature, vol. 415(6868), pages 137-140, January.
    7. Andreoni, James & Gee, Laura K., 2012. "Gun for hire: Delegated enforcement and peer punishment in public goods provision," Journal of Public Economics, Elsevier, vol. 96(11), pages 1036-1046.
    8. M.A. Nowak & K. Sigmund, 1998. "Evolution of Indirect Reciprocity by Image Scoring/ The Dynamics of Indirect Reciprocity," Working Papers ir98040, International Institute for Applied Systems Analysis.
    9. Carpenter, Jeffrey & Bowles, Samuel & Gintis, Herbert & Hwang, Sung-Ha, 2009. "Strong reciprocity and team production: Theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 221-232, August.
    10. Klaus Jaffe & Luis Zaballa, 2010. "Co-Operative Punishment Cements Social Cohesion," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-4.
    11. Oliver Kim & Mark Walker, 1984. "The free rider problem: Experimental evidence," Public Choice, Springer, vol. 43(1), pages 3-24, January.
    12. Fajnzylber, Pablo & Lederman, Daniel & Loayza, Norman, 2002. "Inequality and Violent Crime," Journal of Law and Economics, University of Chicago Press, vol. 45(1), pages 1-40, April.
    13. Hisashi Ohtsuki & Yoh Iwasa & Martin A. Nowak, 2009. "Indirect reciprocity provides only a narrow margin of efficiency for costly punishment," Nature, Nature, vol. 457(7225), pages 79-82, January.
    14. Smaldino, Paul E. & Schank, Jeffrey C., 2012. "Movement patterns, social dynamics, and the evolution of cooperation," Theoretical Population Biology, Elsevier, vol. 82(1), pages 48-58.
    15. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
    16. Ananish Chaudhuri, 2011. "Sustaining cooperation in laboratory public goods experiments: a selective survey of the literature," Experimental Economics, Springer;Economic Science Association, vol. 14(1), pages 47-83, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Grieco, Daniela & Faillo, Marco & Zarri, Luca, 2017. "Enforcing cooperation in public goods games: Is one punisher enough?," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 55-73.
    2. Ahmadreza Asgharpourmasouleh & Atiye Sadeghi & Ali Yousofi, 2017. "A Grounded Agent-Based Model of Common Good Production in a Residential Complex: Applying Artificial Experiments," SAGE Open, , vol. 7(4), pages 21582440177, October.
    3. Sergio F. Góngora y Moreno & J. Octavio Gutierrez-Garcia, 2018. "Collective action in organizational structures," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 1-33, March.
    4. Mike Farjam & Wladislaw Mill & Marian Panganiban, 2016. "Ignorance Is Bliss, But for Whom? The Persistent Effect of Good Will on Cooperation," Games, MDPI, vol. 7(4), pages 1-19, October.

    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. Ding, Rui & Wang, Xianjia & Liu, Yang & Zhao, Jinhua & Gu, Cuiling, 2023. "Evolutionary games with environmental feedbacks under an external incentive mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    2. DeAngelo, Gregory & Gee, Laura K., 2020. "Peers or police?: The effect of choice and type of monitoring in the provision of public goods," Games and Economic Behavior, Elsevier, vol. 123(C), pages 210-227.
    3. Yuzhen Li & Jun Luo & He Niu & Hang Ye, 2023. "When punishers might be loved: fourth-party choices and third-party punishment in a delegation game," Theory and Decision, Springer, vol. 94(3), pages 423-465, April.
    4. Daniela Grieco & Marco Faillo & Luca Zarri, 2013. "Top Contributors as Punishers," Working Papers 24/2013, University of Verona, Department of Economics.
    5. Bogliacino, Francesco & Codagnone, Cristiano, 2021. "Microfoundations, behaviour, and evolution: Evidence from experiments," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 372-385.
    6. KAMEI Kenju, 2022. "Self-regulatory Resources and Institutional Formation: A first experimental test," Discussion papers 22084, Research Institute of Economy, Trade and Industry (RIETI).
    7. Simon Gaechter & Benedikt Herrmann, 2008. "Reciprocity, culture, and human cooperation: Previous insights and a new cross-cultural experiment," Discussion Papers 2008-14, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    8. Angelo Antoci & Luca Zarri, 2015. "Punish and perish?," Rationality and Society, , vol. 27(2), pages 195-223, May.
    9. Grieco, Daniela & Faillo, Marco & Zarri, Luca, 2017. "Enforcing cooperation in public goods games: Is one punisher enough?," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 55-73.
    10. Johnson, Dominic D.P. & Price, Michael E. & Van Vugt, Mark, 2013. "Darwin's invisible hand: Market competition, evolution and the firm," Journal of Economic Behavior & Organization, Elsevier, vol. 90(S), pages 128-140.
    11. Goeschl, Timo & Haberl, Beatrix & Soldà, Alice, 2023. "How to Organize Monitoring and Punishment: Experimental Evidence," Working Papers 0737, University of Heidelberg, Department of Economics.
    12. Kenju Kamei & Smriti Sharma & Matthew J. Walker, 2023. "Collective Sanction Enforcement: New Experimental Evidence from Two Societies," Keio-IES Discussion Paper Series 2023-014, Institute for Economics Studies, Keio University.
    13. Kirchkamp, Oliver & Mill, Wladislaw, 2020. "Conditional cooperation and the effect of punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 150-172.
    14. Boyu Zhang & Cong Li & Hannelore Silva & Peter Bednarik & Karl Sigmund, 2014. "The evolution of sanctioning institutions: an experimental approach to the social contract," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 285-303, June.
    15. Liu, Jia & Riyanto, Yohanes E. & Zhang, Ruike, 2020. "Firing the right bullets: Exploring the effectiveness of the hired-gun mechanism in the provision of public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 222-243.
    16. Daniel A. Brent & Lata Gangadharan & Anca Mihut & Marie Claire Villeval, 2019. "Taxation, redistribution, and observability in social dilemmas," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 21(5), pages 826-846, October.
    17. Christoph Engel, 2019. "When Does Transparency Backfire? Putting Jeremy Bentham's Theory of General Prevention to the Experimental Test," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(4), pages 881-908, December.
    18. Erte Xiao & Howard Kunreuther, 2016. "Punishment and Cooperation in Stochastic Social Dilemmas," Journal of Conflict Resolution, Peace Science Society (International), vol. 60(4), pages 670-693, June.
    19. DeAngelo, Gregory & Gee, Laura Katherine, 2018. "Peers or Police? Detection and Sanctions in the Provision of Public Goods," IZA Discussion Papers 11540, Institute of Labor Economics (IZA).
    20. Isamu Okada, 2020. "A Review of Theoretical Studies on Indirect Reciprocity," Games, MDPI, vol. 11(3), pages 1-17, July.

    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:jas:jasssj:2013-87-3. 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: Francesco Renzini (email available below). General contact details of provider: .

    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.