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Cooperation under Indirect Reciprocity and Imitative Trust

Author

Listed:
  • Serguei Saavedra
  • David Smith
  • Felix Reed-Tsochas

Abstract

Indirect reciprocity, a key concept in behavioral experiments and evolutionary game theory, provides a mechanism that allows reciprocal altruism to emerge in a population of self-regarding individuals even when repeated interactions between pairs of actors are unlikely. Recent empirical evidence show that humans typically follow complex assessment strategies involving both reciprocity and social imitation when making cooperative decisions. However, currently, we have no systematic understanding of how imitation, a mechanism that may also generate negative effects via a process of cumulative advantage, affects cooperation when repeated interactions are unlikely or information about a recipient's reputation is unavailable. Here we extend existing evolutionary models, which use an image score for reputation to track how individuals cooperate by contributing resources, by introducing a new imitative-trust score, which tracks whether actors have been the recipients of cooperation in the past. We show that imitative trust can co-exist with indirect reciprocity mechanisms up to a threshold and then cooperation reverses -revealing the elusive nature of cooperation. Moreover, we find that when information about a recipient's reputation is limited, trusting the action of third parties towards her (i.e. imitating) does favor a higher collective cooperation compared to random-trusting and share-alike mechanisms. We believe these results shed new light on the factors favoring social imitation as an adaptive mechanism in populations of cooperating social actors.

Suggested Citation

  • Serguei Saavedra & David Smith & Felix Reed-Tsochas, 2010. "Cooperation under Indirect Reciprocity and Imitative Trust," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-6, October.
  • Handle: RePEc:plo:pone00:0013475
    DOI: 10.1371/journal.pone.0013475
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    References listed on IDEAS

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    1. Serguei Saavedra & Felix Reed-Tsochas & Brian Uzzi, 2009. "A simple model of bipartite cooperation for ecological and organizational networks," Nature, Nature, vol. 457(7228), pages 463-466, January.
    2. Ernst Fehr & Urs Fischbacher, 2003. "The nature of human altruism," Nature, Nature, vol. 425(6960), pages 785-791, October.
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    Cited by:

    1. Yang, Guoli & Wu, Yu'e & Cavaliere, Matteo, 2024. "Information-driven cooperation on adaptive cyber-physical systems," Applied Mathematics and Computation, Elsevier, vol. 466(C).
    2. Serguei Saavedra & Jordi Duch & Brian Uzzi, 2011. "Tracking Traders' Understanding of the Market Using e-Communication Data," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-7, October.
    3. 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.
    4. Fang, Zhenghui & Xu, Haojie & Xie, Chen & Yue, Xiuyu & Benko, Tina P. & Huang, Changwei, 2025. "Evolution of cooperation in multi-agent systems driven by reputation-based migration," Chaos, Solitons & Fractals, Elsevier, vol. 200(P3).

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