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Open AccessJournal ArticleDOI

Leaders should not be conformists in evolutionary social dilemmas.

TLDR
It is shown that, regardless of the source of heterogeneity and game parametrization, socially the most favorable outcomes emerge if the masses conform, and that leaders must be able to create a following to be optimally augmented by conformity.
Abstract
The most common assumption in evolutionary game theory is that players should adopt a strategy that warrants the highest payoff. However, recent studies indicate that the spatial selection for cooperation is enhanced if an appropriate fraction of the population chooses the most common rather than the most profitable strategy within the interaction range. Such conformity might be due to herding instincts or crowd behavior in humans and social animals. In a heterogeneous population where individuals differ in their degree, collective influence, or other traits, an unanswered question remains who should conform. Selecting conformists randomly is the simplest choice, but it is neither a realistic nor the optimal one. We show that, regardless of the source of heterogeneity and game parametrization, socially the most favorable outcomes emerge if the masses conform. On the other hand, forcing leaders to conform significantly hinders the constructive interplay between heterogeneity and coordination, leading to evolutionary outcomes that are worse still than if conformists were chosen randomly. We conclude that leaders must be able to create a following for network reciprocity to be optimally augmented by conformity. In the opposite case, when leaders are castrated and made to follow, the failure of coordination impairs the evolution of cooperation.

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Journal ArticleDOI

Statistical physics of human cooperation

TL;DR: In this article, the authors review experimental and theoretical research that advances our understanding of human cooperation, focusing on spatial pattern formation, on the spatiotemporal dynamics of observed solutions, and on self-organization that may either promote or hinder socially favorable states.
Journal ArticleDOI

Statistical physics of human cooperation

TL;DR: Experimental and theoretical research is reviewed that advances the understanding of human cooperation, focusing on spatial pattern formation, on the spatiotemporal dynamics of observed solutions, and on self-organization that may either promote or hinder socially favorable states.
Journal ArticleDOI

Promoting cooperation by punishing minority

TL;DR: In this paper, the authors proposed a mechanism of punishment, in which individuals with the majority strategy will punish those with the minority strategy in a public goods game group, and both theoretical analysis and simulation showed that the cooperation level can be greatly enhanced by punishing minority.
Journal ArticleDOI

Evolution of cooperation on independent networks: The influence of asymmetric information sharing updating mechanism

TL;DR: Interestingly, it is found that interdependence by means of asymmetric information sharing function can dramatically promote the evolution of cooperation by restraining negative feed-back effect to provide a better environment for cooperators to mushroom.
Journal ArticleDOI

Coevolution of Vertex Weights Resolves Social Dilemma in Spatial Networks.

TL;DR: A new coevolution setup of game strategy and vertex weight on a square lattice is considered, on which the role or influence of each individual is depicted by vertex weight, and it is concluded that intermediate value of δ enables the strongest heterogeneous distribution of vertex weight.
References
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Journal ArticleDOI

Emergence of Scaling in Random Networks

TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Journal ArticleDOI

Five Rules for the Evolution of Cooperation

TL;DR: Five mechanisms for the evolution of cooperation are discussed: kin selection, direct reciprocity, indirect reciprocities, network reciprocation, group selection, and group selection.
Book

Evolutionary games and population dynamics

TL;DR: In this book the authors investigate the nonlinear dynamics of the self-regulation of social and economic behavior, and of the closely related interactions among species in ecological communities.
Journal ArticleDOI

Statistical physics of social dynamics

TL;DR: In this article, a wide list of topics ranging from opinion and cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, and social spreading are reviewed and connections between these problems and other, more traditional, topics of statistical physics are highlighted.
Journal ArticleDOI

Evolutionary games and spatial chaos

TL;DR: In this article, the authors explore the consequences of placing players in a two-dimensional spatial array: in each round, every individual 'plays the game' with the immediate neighbours; after this, each site is occupied either by its original owner or by one of the neighbours, depending on who scores the highest total in that round; and so to the next round of the game.