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The evolution of generalized reciprocity in social interaction networks

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  • Voelkl, Bernhard

Abstract

Generalized reciprocity has been proposed as a mechanism for enabling continued cooperation between unrelated individuals. It can be described by the simple rule “help somebody if you received help from someone†, and as it does not require individual recognition, complex cognition or extended memory capacities, it has the potential to explain cooperation in a large number of organisms. In a panmictic population this mechanism is vulnerable to defection by individuals who readily accept help but do not help themselves. Here, I investigate to what extent the limitation of social interactions to a social neighborhood can lead to conditions that favor generalized reciprocity in the absence of population structuring. It can be shown that cooperation is likely to evolve if one assumes certain sparse interaction graphs, if strategies are discrete, and if spontaneous helping and reciprocating are independently inherited.

Suggested Citation

  • Voelkl, Bernhard, 2015. "The evolution of generalized reciprocity in social interaction networks," Theoretical Population Biology, Elsevier, vol. 104(C), pages 17-25.
  • Handle: RePEc:eee:thpobi:v:104:y:2015:i:c:p:17-25
    DOI: 10.1016/j.tpb.2015.06.005
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    References listed on IDEAS

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    1. Erez Lieberman & Christoph Hauert & Martin A. Nowak, 2005. "Evolutionary dynamics on graphs," Nature, Nature, vol. 433(7023), pages 312-316, January.
    2. Fruteau, C. & Voelkl, B. & van Damme, E.E.C. & Noe, R., 2009. "Supply and demand determine the market value of food providers in wild vervet monkeys," Other publications TiSEM c108fa1a-6b92-4107-a1e6-6, Tilburg University, School of Economics and Management.
    3. Peter D. Taylor & Troy Day & Geoff Wild, 2007. "Evolution of cooperation in a finite homogeneous graph," Nature, Nature, vol. 447(7143), pages 469-472, May.
    4. F. Débarre & C. Hauert & M. Doebeli, 2014. "Social evolution in structured populations," Nature Communications, Nature, vol. 5(1), pages 1-7, May.
    5. Martin A. Nowak & Karl Sigmund, 1998. "Evolution of indirect reciprocity by image scoring," Nature, Nature, vol. 393(6685), pages 573-577, June.
    6. 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.
    7. Martin A. Nowak & Karl Sigmund, 2005. "Evolution of indirect reciprocity," Nature, Nature, vol. 437(7063), pages 1291-1298, October.
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    Cited by:

    1. Salazar, Miguel & Joel Shaw, Daniel & Czekóová, Kristína & Staněk, Rostislav & Brázdil, Milan, 2022. "The role of generalised reciprocity and reciprocal tendencies in the emergence of cooperative group norms," Journal of Economic Psychology, Elsevier, vol. 90(C).

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