scholarly journals How selection pressure changes the nature of social dilemmas in structured populations

2012 ◽  
Vol 14 (7) ◽  
pp. 073035 ◽  
Author(s):  
Flávio L Pinheiro ◽  
Francisco C Santos ◽  
Jorge M Pacheco
2021 ◽  
Author(s):  
Christoph Hauert ◽  
Michael Doebeli

Cooperative investments in social dilemmas can spontaneously diversify into stably co-existing high and low contributors in well-mixed populations. Here we extend the analysis to emerging diversity in (spatially) structured populations. Using pair approximation we derive analytical expressions for the invasion fitness of rare mutants in structured populations, which then yields a spatial adaptive dynamics framework. This allows us to predict changes arising from population structures in terms of existence and location of singular strategies, as well as their convergence and evolutionary stability as compared to well-mixed populations. Based on spatial adaptive dynamics and extensive individual based simulations, we find that spatial structure has significant and varied impacts on evolutionary diversification in continuous social dilemmas. More specifically, spatial adaptive dynamics suggests that spontaneous diversification through evolutionary branching is suppressed, but simulations show that spatial dimensions offer new modes of diversification that are driven by an interplay of finite-size mutations and population structures. Even though spatial adaptive dynamics is unable to capture these new modes, they can still be under-stood based on an invasion analysis. In particular, population structures alter invasion fitness and can open up new regions in trait space where mutants can invade, but that may not be accessible to small mutational steps. Instead, stochastically appearing larger mutations or sequences of smaller mutations in a particular direction are required to bridge regions of unfavourable traits. The net effect is that spatial structure tends to promote diversification, especially when selection is strong.


2021 ◽  
Vol 118 (42) ◽  
pp. e2105252118
Author(s):  
Christoph Hauert ◽  
Michael Doebeli

Cooperative investments in social dilemmas can spontaneously diversify into stably coexisting high and low contributors in well-mixed populations. Here we extend the analysis to emerging diversity in (spatially) structured populations. Using pair approximation, we derive analytical expressions for the invasion fitness of rare mutants in structured populations, which then yields a spatial adaptive dynamics framework. This allows us to predict changes arising from population structures in terms of existence and location of singular strategies, as well as their convergence and evolutionary stability as compared to well-mixed populations. Based on spatial adaptive dynamics and extensive individual-based simulations, we find that spatial structure has significant and varied impacts on evolutionary diversification in continuous social dilemmas. More specifically, spatial adaptive dynamics suggests that spontaneous diversification through evolutionary branching is suppressed, but simulations show that spatial dimensions offer new modes of diversification that are driven by an interplay of finite-size mutations and population structures. Even though spatial adaptive dynamics is unable to capture these new modes, they can still be understood based on an invasion analysis. In particular, population structures alter invasion fitness and can open up new regions in trait space where mutants can invade, but that may not be accessible to small mutational steps. Instead, stochastically appearing larger mutations or sequences of smaller mutations in a particular direction are required to bridge regions of unfavorable traits. The net effect is that spatial structure tends to promote diversification, especially when selection is strong.


2011 ◽  
Vol 13 (1) ◽  
pp. 013007 ◽  
Author(s):  
Sven Van Segbroeck ◽  
Francisco C Santos ◽  
Tom Lenaerts ◽  
Jorge M Pacheco

Author(s):  
Samuel Bowles ◽  
Herbert Gintis

This chapter focuses on the evolution of altruism in humans. Following William Hamilton, it uses the term “helping” to describe behaviors that confer benefits on others and reserves the term “altruism” for helping in situations where the helper would benefit in fitness or other material ways by withholding help. The discussion begins with an analysis of the proximal influences on an individual action such as helping using the beliefs, preferences, and constraints approach common to economics and decision theory. According to this approach, what individuals do when restricted to a specific set of feasible actions depends on their desires and goals on the one hand, and their beliefs on the other. The chapter also considers the link between social preferences and social dilemmas before concluding with an overview of a gene-culture coevolution model of group-structured populations, one assumption of which is: an explanation of the evolution of human cooperation must be contingent upon the empirical evidence.


Games ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 41
Author(s):  
Swami Iyer ◽  
Timothy Killingback

Cooperation in social dilemmas plays a pivotal role in the formation of systems at all levels of complexity, from replicating molecules to multi-cellular organisms to human and animal societies. In spite of its ubiquity, the origin and stability of cooperation pose an evolutionary conundrum, since cooperation, though beneficial to others, is costly to the individual cooperator. Thus natural selection would be expected to favor selfish behavior in which individuals reap the benefits of cooperation without bearing the costs of cooperating themselves. Many proximate mechanisms have been proposed to account for the origin and maintenance of cooperation, including kin selection, direct reciprocity, indirect reciprocity, and evolution in structured populations. Despite the apparent diversity of these approaches they all share a unified underlying logic: namely, each mechanism results in assortative interactions in which individuals using the same strategy interact with a higher probability than they would at random. Here we study the evolution of cooperation in both discrete strategy and continuous strategy social dilemmas with assortative interactions. For the sake of tractability, assortativity is modeled by an individual interacting with another of the same type with probability r and interacting with a random individual in the population with probability 1−r, where r is a parameter that characterizes the degree of assortativity in the system. For discrete strategy social dilemmas we use both a generalization of replicator dynamics and individual-based simulations to elucidate the donation, snowdrift, and sculling games with assortative interactions, and determine the analogs of Hamilton’s rule, which govern the evolution of cooperation in these games. For continuous strategy social dilemmas we employ both a generalization of deterministic adaptive dynamics and individual-based simulations to study the donation, snowdrift, and tragedy of the commons games, and determine the effect of assortativity on the emergence and stability of cooperation.


1964 ◽  
Vol 47 (3) ◽  
pp. 258-268 ◽  
Author(s):  
Gerald Friedman ◽  
Jerome D. Waye ◽  
Leonard A. Weingarten ◽  
Henry D. Janowitz

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