IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v402y2021ics0096300321001995.html
   My bibliography  Save this article

The interface of unidirectional rewards: Enhanced cooperation within interdependent networks

Author

Listed:
  • Liu, Yifan
  • Geng, Yini
  • Du, Chunpeng
  • Hu, Kaipeng
  • Shen, Chen
  • Pansini, Riccardo
  • Shi, Lei

Abstract

As a way to induce cooperation more effectively, positive incentives have emerged in social species forefront to negative incentives. To assess their effects in cooperation networks, we simulated a social scenario in which reward behaviors are dispensed unilaterally. To do so, we let evolve asymmetric rewards within two specular, interdependent networks, whose individuals in an upper layer have the right to reward corresponding players displaying, likewise, cooperative or defective behavior in the lower layer. With this setup, rewarded players in the lower layer can obtain a payoff equivalent to the amount of the cost of granting reward from the upper layer. Peculiarly, we find that cooperators survive for larger reward values regardless of how high the temptation to defect is. Notably, cooperators in the upper network thrive even if the temptation to defect is pretty high. By further analyzing the nature of social interactions, we find that defection is the winning strategy when rewards originated pro-socially, and that cooperation instead wins by invading the whole system when rewards originated anti-socially. These results are consistent when crosschecked to a theoretical analysis here purposely drawn up. Our work highlights the need of including complex network structures when analyzing asymmetric incentives in the evolution of cooperation, both in human and non-human species.

Suggested Citation

  • Liu, Yifan & Geng, Yini & Du, Chunpeng & Hu, Kaipeng & Shen, Chen & Pansini, Riccardo & Shi, Lei, 2021. "The interface of unidirectional rewards: Enhanced cooperation within interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 402(C).
  • Handle: RePEc:eee:apmaco:v:402:y:2021:i:c:s0096300321001995
    DOI: 10.1016/j.amc.2021.126151
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300321001995
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2021.126151?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xuelong Li & Marko Jusup & Zhen Wang & Huijia Li & Lei Shi & Boris Podobnik & H. Eugene Stanley & Shlomo Havlin & Stefano Boccaletti, 2018. "Punishment diminishes the benefits of network reciprocity in social dilemma experiments," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(1), pages 30-35, January.
    2. 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.
    3. Markus Brede, 2013. "Short Versus Long Term Benefits and the Evolution of Cooperation in the Prisoner's Dilemma Game," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    4. 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.
    5. Nikos Nikiforakis & Hans-Theo Normann & Brian Wallace, 2010. "Asymmetric Enforcement of Cooperation in a Social Dilemma," Southern Economic Journal, John Wiley & Sons, vol. 76(3), pages 638-659, January.
    6. Riccardo Pansini & Marco Campennì & Lei Shi, 2020. "Segregating socioeconomic classes leads to an unequal redistribution of wealth," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-10, December.
    7. Zhen Wang & Marko Jusup & Lei Shi & Joung-Hun Lee & Yoh Iwasa & Stefano Boccaletti, 2018. "Exploiting a cognitive bias promotes cooperation in social dilemma experiments," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    8. Rand, David Gertler & Dreber, Anna & Fudenberg, Drew & Ellingson, Tore & Nowak, Martin A., 2009. "Positive Interactions Promote Public Cooperation," Scholarly Articles 3804483, Harvard University Department of Economics.
    9. Alex McAvoy & Christoph Hauert, 2015. "Asymmetric Evolutionary Games," PLOS Computational Biology, Public Library of Science, vol. 11(8), pages 1-26, August.
    10. Dominic D. P. Johnson & Pavel Stopka & Stephen Knights, 2003. "The puzzle of human cooperation," Nature, Nature, vol. 421(6926), pages 911-912, February.
    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. Guo, Tian & Du, Chunpeng & Shi, Lei, 2024. "Evolution of cooperation on interdependent networks: The impact of asymmetric punishment," Applied Mathematics and Computation, Elsevier, vol. 463(C).

    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. Quan, Ji & Tang, Caixia & Zhou, Yawen & Wang, Xianjia & Yang, Jian-Bo, 2020. "Reputation evaluation with tolerance and reputation-dependent imitation on cooperation in spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
    2. Quan, Ji & Yu, Junyu & Li, Xia & Wang, Xianjia, 2023. "Conditional switching between social excluders and loners promotes cooperation in spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    3. Daniele Nosenzo & Martin Sefton, 2012. "Promoting Cooperation: the Distribution of Reward and Punishment Power," Discussion Papers 2012-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. Guererk, Oezguer & Rockenbach, Bettina & Wolff, Irenaeus, 2010. "The effects of punishment in dynamic public-good games," MPRA Paper 22097, University Library of Munich, Germany.
    5. Jonathan E Bone & Brian Wallace & Redouan Bshary & Nichola J Raihani, 2015. "The Effect of Power Asymmetries on Cooperation and Punishment in a Prisoner’s Dilemma Game," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-15, January.
    6. Murnighan, J. Keith & Wang, Long, 2016. "The social world as an experimental game," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 80-94.
    7. Wu, Yu’e & Zhang, Zhipeng & Chang, Shuhua, 2019. "Reciprocal reward promotes the evolution of cooperation in structured populations," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 230-236.
    8. Li, Shulan & Hong, Lijun & Geng, Yini & Shen, Chen, 2020. "Popularity-driven fitness calculation promotes cooperation in spatial prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    9. Wang, Mengyao & Pan, Qiuhui & He, Mingfeng, 2020. "Individuals with the firm heart are conducive to cooperation in social dilemma," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    10. Quan, Ji & Yang, Wenjun & Li, Xia & Wang, Xianjia & Yang, Jian-Bo, 2020. "Social exclusion with dynamic cost on the evolution of cooperation in spatial public goods games," Applied Mathematics and Computation, Elsevier, vol. 372(C).
    11. Kyung Hwan Baik & Subhasish M. Chowdhury & Abhijit Ramalingam, 2021. "Group size and matching protocol in contests," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(4), pages 1716-1736, November.
    12. Markus C. Arnold & Eva Ponick, 2006. "Kommunikation im Groves-Mechanismus — Ergebnisse eines Laborexperiments," Schmalenbach Journal of Business Research, Springer, vol. 58(1), pages 89-120, February.
    13. Kamei, Kenju, 2016. "Information Disclosure and Cooperation in a Finitely-repeated Dilemma: Experimental Evidence," MPRA Paper 75100, University Library of Munich, Germany.
    14. Bruno S. Frey & Stephan Meier, "undated". "Pro-Social Behavior, Reciprocity or Both?," IEW - Working Papers 107, Institute for Empirical Research in Economics - University of Zurich.
    15. 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.
    16. Mateus Joffily & David Masclet & Charles N Noussair & Marie Claire Villeval, 2014. "Emotions, Sanctions, and Cooperation," Southern Economic Journal, John Wiley & Sons, vol. 80(4), pages 1002-1027, April.
    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. Helena Fornwagner & Oliver P. Hauser, 2022. "Climate Action for (My) Children," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 95-130, January.
    19. Gächter, Simon & Herrmann, Benedikt, 2011. "The limits of self-governance when cooperators get punished: Experimental evidence from urban and rural Russia," European Economic Review, Elsevier, vol. 55(2), pages 193-210, February.
    20. Dickinson, David L. & Masclet, David & Villeval, Marie Claire, 2015. "Norm enforcement in social dilemmas: An experiment with police commissioners," Journal of Public Economics, Elsevier, vol. 126(C), pages 74-85.

    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:eee:apmaco:v:402:y:2021:i:c:s0096300321001995. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.