The role of self-loops and link removal in evolutionary games on networks

Madeo, Dario; Mocenni, Chiara; Moraes, Jean Carlo; Zubelli, Jorge P.

doi:10.3934/mbe.2019264

Cited by 4 publications

(3 citation statements)

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“…[29,30]). A further element able to foster the presence of differences among individuals was introduced in subsequent papers, where self-regulation mechanisms were considered in the framework of the prisoner's dilemma [31].…”

Section: The Starting Point the Sr-egn Modelmentioning

confidence: 99%

The Dynamics of Cooperation in Society. The ECHO-EGN Model

Madeo

Salvatore

Mannarini

et al. 2021

Preprint

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Understanding the dynamics of cooperative behavior of individuals in complex societies represents a fundamental research question which puzzles scientists working in heterogeneous fields. Many studies have been developed using the unitary agent assumption, which embeds the idea that when making decisions, individuals share the same socio-cultural parameters. In this paper, we propose the ECHO-EGN model, based on Evolutionary Game Theory, which relaxes this strong assumption by considering the heterogeneity of three fundamental socio-cultural aspects ruling the behavior of groups of people: the propensity to be more cooperative with members of the same group (Endogamy), the propensity to cooperate with the public domain (Civicness) and the propensity to prefer connections with members of the same group (Homophily). The ECHO-EGN model is shown to have high performance in describing real world behavior of interacting individuals living in complex environments. Extensive numerical experiments allowing the comparison of real data and model simulations confirmed that the introduction of the above mechanisms enhances the realism in the modelling of cooperation dynamics. Additionally, theoretical findings allow us to conclude that Endogamy may limit significantly the emergence of cooperation.

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Section: The Starting Point the Sr-egn Modelmentioning

confidence: 99%

The Dynamics of Cooperation in Society. The ECHO-EGN Model

Madeo

Salvatore

Mannarini

et al. 2021

Preprint

Self Cite

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“… 38 , 39 ). A further element able to foster the presence of differences among individuals was introduced in subsequent papers, where self-regulation mechanisms were considered in the framework of the prisoner’s dilemma 40 . Specifically, the self-regulation mechanisms act as fundamental drivers able to promote cooperation at the local and global levels 41 .…”

Section: Evolutionary Games For Culturally Plural Social Groups: the Echo-egn Modelmentioning

confidence: 99%

Modeling pluralism and self-regulation explains the emergence of cooperation in networked societies

Madeo

Salvatore

Mannarini

et al. 2021

Sci Rep

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Understanding the dynamics of cooperative behavior of individuals in complex societies represents a fundamental research question which puzzles scientists working in heterogeneous fields. Many studies have been developed using the unitary agent assumption, which embeds the idea that when making decisions, individuals share the same socio-cultural parameters. In this paper, we propose the ECHO-EGN model, based on Evolutionary Game Theory, which relaxes this strong assumption by considering the heterogeneity of three fundamental socio-cultural aspects ruling the behavior of groups of people: the propensity to be more cooperative with members of the same group (Endogamic cooperation), the propensity to cooperate with the public domain (Civicness) and the propensity to prefer connections with members of the same group (Homophily). The ECHO-EGN model is shown to have high performance in describing real world behavior of interacting individuals living in complex environments. Extensive numerical experiments allowing the comparison of real data and model simulations confirmed that the introduction of the above mechanisms enhances the realism in the modelling of cooperation dynamics. Additionally, theoretical findings allow us to conclude that endogamic cooperation may limit significantly the emergence of cooperation.

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“…Indeed, EGT provides a rigorous methodology for studying strategic interactions among people evolving over time (Hofbauer (2003); Nowak (2004)). The influence of networks on the dynamics of evolutionary games has been also investigated recently (Madeo (2019)).…”

Section: Introductionmentioning

confidence: 99%