2013
DOI: 10.1016/j.chaos.2013.06.008
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Quantifying the impact of noise on macroscopic organization of cooperation in spatial games

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Cited by 8 publications
(3 citation statements)
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“…But since cooperation is common not only between relatives, other mechanisms have also been identified, including various forms of reciprocity and group selection [8]. Network reciprocity in particular [9], has recently attracted considerable attention in the physics community, as it became clear that methods of nonequilibrium statistical physics [10][11][12][13] can inform relevantly on the outcome of evolutionary games on structured populations [14][15][16][17][18][19][20]. While the basic idea behind network reciprocity is simple -cooperators do better if they are surrounded by other cooperators -the manifestation of this fact and the phase transitions leading to it depend sensitively on the structure of the interaction network and the type of interactions [14], as well as on the number and type of competing strate- gies [21].…”
mentioning
confidence: 99%
“…But since cooperation is common not only between relatives, other mechanisms have also been identified, including various forms of reciprocity and group selection [8]. Network reciprocity in particular [9], has recently attracted considerable attention in the physics community, as it became clear that methods of nonequilibrium statistical physics [10][11][12][13] can inform relevantly on the outcome of evolutionary games on structured populations [14][15][16][17][18][19][20]. While the basic idea behind network reciprocity is simple -cooperators do better if they are surrounded by other cooperators -the manifestation of this fact and the phase transitions leading to it depend sensitively on the structure of the interaction network and the type of interactions [14], as well as on the number and type of competing strate- gies [21].…”
mentioning
confidence: 99%
“…Interestingly, the present study shows that, in the context of the traditional VPD game for a fully populated network [10], the emergence of cyclic behaviour is biased by the use of the Fermi-Dirac distribution function (sigmoid) in the strategy adoption process. This sigmoid function is often employed to allow for irrational or unjustified decisions where agents occasionally copy the strategy of a worse or an equally performing neighbour [5,57,66,67,68]. We show that when agents make fully rational decisions such as only copying the strategy of better performing neighbours, the outcome changes drastically, making cyclic behaviour unsustainable in most cases.…”
Section: Discussionmentioning
confidence: 99%
“…Wang et al [5] argued that the strategy choice of players should be affected by all their neighbors rather than the most successful neighbor and proposed an adaptive strategy-adoption rule to imitate the real-world social influence. Du and Fu [23] thought noise may be present in individual strategy learning and compared the impact of noise on spatial organization of cooperation. Gruji et al [24] carried out comparative experiments and found that moody conditional cooperation is more supported than noninnovative game dynamics such as imitate-the-best or pairwise comparison rules.…”
Section: Literature Reviewmentioning
confidence: 99%