The evolution of cooperation in a lattice-structured population
- PMID: 9039401
- DOI: 10.1006/jtbi.1996.0243
The evolution of cooperation in a lattice-structured population
Abstract
The evolution of cooperation among unrelated individuals is studied in a lattice-structured habitat, where individuals interact locally only with their neighbors. The initial population includes Tit-for-Tat (abbreviated as TFT, indicating a cooperative strategy) and All Defect (AD, a selfish strategy) distributed randomly over the lattice points. Each individual plays the iterated Prisoner's Dilemma game with its nearest neighbors, and its total pay-off determines its instantaneous mortality. After the death of an individual, the site is replaced immediately by a copy of a randomly chosen neighbor. Mathematical analyses based on mean-field approximation, pair approximation, and computer simulation are applied. Models on one and two-dimensional regular square lattices are examined and compared with the complete mixing model. Results are: (1) In the one-dimensional model, TFT players come to form tight clusters. As the probability of iteration w increases, TFTs become more likely to spread. The condition for TFT to increase is predicted accurately by pair approximation but not by mean-field approximation. (2) If w is sufficiently large, TFT can invade and spread in an AD population, which is impossible in the complete mixing model where AD is always ESS. This is also confirmed by the invasion probability analysis. (3) The two-dimensional lattice model behaves somewhat in between the one-dimensional model and the complete mixing model. (4) The spatial structure modifies the condition for the evolution of cooperation in two different ways: it facilitates the evolution of cooperation due to spontaneously formed positive correlation between neighbors, but it also inhibits cooperation because of the advantage of being spiteful by killing neighbors and then replacing them.
Similar articles
-
Score-dependent fertility model for the evolution of cooperation in a lattice.J Theor Biol. 1998 Sep 7;194(1):101-24. doi: 10.1006/jtbi.1998.0750. J Theor Biol. 1998. PMID: 9778428
-
Iterated Prisoner's Dilemma: pay-off variance.J Theor Biol. 1997 Sep 7;188(1):1-10. doi: 10.1006/jtbi.1997.0439. J Theor Biol. 1997. PMID: 9299305
-
Effect of the presence of empty sites on the evolution of cooperation by costly punishment in spatial games.J Theor Biol. 2009 Jan 21;256(2):297-304. doi: 10.1016/j.jtbi.2008.09.025. Epub 2008 Oct 10. J Theor Biol. 2009. PMID: 18952110
-
Resolving the iterated prisoner's dilemma: theory and reality.J Evol Biol. 2011 Aug;24(8):1628-39. doi: 10.1111/j.1420-9101.2011.02307.x. Epub 2011 May 23. J Evol Biol. 2011. PMID: 21599777 Review.
-
Spatialization and greater generosity in the stochastic Prisoner's Dilemma.Biosystems. 1996;37(1-2):3-17. doi: 10.1016/0303-2647(95)01541-8. Biosystems. 1996. PMID: 8924636 Review.
Cited by
-
Evolutionary shift dynamics on a cycle.J Theor Biol. 2012 Oct 21;311:28-39. doi: 10.1016/j.jtbi.2012.07.006. Epub 2012 Jul 16. J Theor Biol. 2012. PMID: 22814475 Free PMC article.
-
Population Structure Promotes the Evolution of Intuitive Cooperation and Inhibits Deliberation.Sci Rep. 2018 Apr 19;8(1):6293. doi: 10.1038/s41598-018-24473-1. Sci Rep. 2018. PMID: 29674677 Free PMC article.
-
Host-microbiome coevolution can promote cooperation in a rock-paper-scissors dynamics.Proc Biol Sci. 2020 Feb 12;287(1920):20192754. doi: 10.1098/rspb.2019.2754. Epub 2020 Feb 12. Proc Biol Sci. 2020. PMID: 32075531 Free PMC article.
-
Bluffing promotes overconfidence on social networks.Sci Rep. 2014 Jun 30;4:5491. doi: 10.1038/srep05491. Sci Rep. 2014. PMID: 24974793 Free PMC article.
-
Evolution of Cooperation in Social Dilemmas on Complex Networks.PLoS Comput Biol. 2016 Feb 29;12(2):e1004779. doi: 10.1371/journal.pcbi.1004779. eCollection 2016 Feb. PLoS Comput Biol. 2016. PMID: 26928428 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Research Materials