Skip to main content
Log in

The evolution of cooperation in finite populations with synergistic payoffs

  • Published:
Biology & Philosophy Aims and scope Submit manuscript

Abstract

In a series of papers, Forber and Smead (J Philos 111(3):151–166, 2014, Biol Philos 30(3):405–421, 2015) and Smead and Forber (Evolution 67(3):698–707, 2013) make a valuable contribution to the study of cooperation in finite populations by analyzing an understudied model: the prisoner’s delight. It always pays to cooperate in the one-shot prisoner’s delight, so this model presents a best-case scenario for the evolution of cooperation. Yet, what Forber and Smead find is highly counterintuitive. In finite populations playing the prisoner’s delight, increasing the benefit of cooperation causes selection to favor defection. Here, I extend their model by considering the effects of non-linear payoffs. In particular, I show that interesting subtleties arise when payoffs are synergistic. Indeed, analysis reveals that increasing the benefit of cooperation does not always favor the spread of defection if payoffs are synergistic. I conclude by drawing some general considerations about robustness analysis in evolutionary models.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. Strictly speaking, the range of α(xC) and β(xC) is here the set of natural numbers less than N. So the notions of steepness, inflection point, and other terms that apply to continuous functions are not defined for these functions. Here, I use these terms as a convenient short-hand for what would be the case in the limit of α(xC) and β(xC) as N goes to infinity, but my results do not depend on this. Similar functions have been studied in non-cooperative settings by Archetti and Scheuring (2011).

References

  • Allen B, Nowak MA, Wilson EO (2013) Limitations of inclusive fitness. Proc Natl Acad Sci 110(50):20135–20139

    Article  Google Scholar 

  • Archetti M, Scheuring I (2011) Coexistence of cooperation and defection in public goods games. Evolution 65(4):1140–1148

    Article  Google Scholar 

  • Bonner JT (2009) The social amoebae: the biology of cellular slime molds. Princeton University Press, Princeton

    Google Scholar 

  • Cavalli-Sforza LL, Feldman MW (1978) Darwinian selection and “altruism”. Theor Popul Biol 14(2):268–280

    Article  Google Scholar 

  • Forber P, Smead R (2014) An evolutionary paradox for prosocial behavior. J Philos 111(3):151–166

    Article  Google Scholar 

  • Forber P, Smead R (2015) Evolution and the classification of social behavior. Biol Philos 30(3):405–421

    Article  Google Scholar 

  • Hamilton WD (1971) Selection of selfish and altruistic behavior in some extreme models. In: Man and beast: comparative social behavior, pp 57–91

  • Hardin G (1968) The tragedy of the commons. Science 162:1243–1248

    Article  Google Scholar 

  • Levins R (1966) The strategy of model building in population biology. Am Sci 54(4):421–431

    Google Scholar 

  • Maynard-Smith J, Price GR (1973) The logic of animal conflict. Nature 246:15–18

    Article  Google Scholar 

  • Milinski M, Semmann D, Krambeck H-J, Marotzke J (2006) Stabilizing the Earth’s climate is not a losing game: supporting evidence from public goods experiments. Proc Natl Acad Sci USA 103(11):3994–3998

    Article  Google Scholar 

  • Miller MB, Bassler BL (2001) Quorum sensing in bacteria. Annu Rev Microbiol 55(1):165–199

    Article  Google Scholar 

  • Nowak MA, Sasaki A, Taylor C, Fudenberg D (2004) Emergence of cooperation and evolutionary stability in finite populations. Nature 428(6983):646

    Article  Google Scholar 

  • Orzack SH, Sober E (1993) A critical assessment of Levins’s the strategy of model building in population biology (1966). Q Rev Biol 68:533–546

    Article  Google Scholar 

  • Packer C, Scheel D, Pusey AE (1990) Why lions form groups: food is not enough. Am Nat 136(1):1–19

    Article  Google Scholar 

  • Smead R, Forber P (2013) The evolutionary dynamics of spite in finite populations. Evolution 67(3):698–707

    Article  Google Scholar 

  • Taylor C, Fudenberg D, Sasaki A, Nowak MA (2004) Evolutionary game dynamics in finite populations. Bull Math Biol 66(6):1621–1644

    Article  Google Scholar 

  • Tomasello M, Melis AP, Tennie C, Wyman E, Herrmann E, Gilby IC, Hawkes K, Sterelny K, Wyman E, Tomasello M, Melis A (2012) Two key steps in the evolution of human cooperation: the interdependence hypothesis. Curr Anthropol 53(6):673–692

    Article  Google Scholar 

  • van Veelen M (2009) Group selection, kin selection, altruism and cooperation: when inclusive fitness is right and when it can be wrong. J Theor Biol 259(3):589–600

    Article  Google Scholar 

  • Weisberg M (2006) Robustness analysis. Philos Sci 73(5):730–742

    Article  Google Scholar 

  • Weisberg M, Reisman K (2008) The robust Volterra principle. Philos Sci 75(1):106–131

    Article  Google Scholar 

  • Yip EC, Powers KS, Avilés L (2008) Cooperative capture of large prey solves scaling challenge faced by spider societies. Proc Natl Acad Sci 105(33):11818–11822

    Article  Google Scholar 

Download references

Acknowledgements

I thank Alex Rosenberg, Rory Smead, Hannah Read, and especially two anonymous referees for helpful feedback on previous drafts of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rafael Ventura.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ventura, R. The evolution of cooperation in finite populations with synergistic payoffs. Biol Philos 34, 43 (2019). https://doi.org/10.1007/s10539-019-9695-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10539-019-9695-x

Keywords

Navigation