Scale-free growth of human society based on cooperation and altruistic punishment

Podobnik, Boris; Gabor, Andrijana Mušura; Kirbiš, Ivona Škreblin

doi:10.1016/j.physa.2018.08.170

Cited by 7 publications

(2 citation statements)

References 25 publications

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“…For future research, it may be beneficial to refine our model to account for the complexity of human incentive systems. This may involve incorporating elements such as reputation 10,[34][35][36][37][38] and punishment [38][39][40][41][42][43][44] . Additionally, establishing connections with empirical studies in diverse fields such as economics, sociology, and anthropology may further enhance the model's applicability and effectiveness.…”

Section: Discussionmentioning

confidence: 99%

Evolution of cooperation in multiplex networks through asymmetry between interaction and replacement

Inaba

Akiyama

2023

Sci Rep

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Cooperation is the foundation of society and has been the subject of numerous studies over the past three decades. However, the mechanisms underlying the spread of cooperation within a group are not yet fully comprehended. We analyze cooperation in multiplex networks, a model that has recently gained attention for successfully capturing certain aspects of human social connections. Previous studies on the evolution of cooperation in multiplex networks have shown that cooperative behavior is promoted when the two key processes in evolution, interaction and strategy replacement, are performed with the same partner as much as possible, that is, symmetrically, in a variety of network structures. We focus on a particular type of symmetry, namely, symmetry in the scope of communication, to investigate whether cooperation is promoted or hindered when interactions and strategy replacements have different scopes. Through multiagent simulations, we found some cases where asymmetry can promote cooperation, contrasting with previous studies. These results hint toward the potential effectiveness of not only symmetrical but also asymmetrical approaches in fostering cooperation within particular groups under certain social conditions.

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Section: Discussionmentioning

confidence: 99%

Evolution of cooperation in multiplex networks through asymmetry between interaction and replacement

Inaba

Akiyama

2023

Sci Rep

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“…There are a number of studies [16][17][18][19][20][21][22][23] Prior works on network reciprocity essentially assume that interactions, consisting of games and learning, only happen between neighboring agents in the network (hop 1 in Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Effect of expanding learning scope on the evolution of cooperation in scale-free networks

Inaba¹,

Akiyama²

2022

Preprint

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We study how expanding the scope for selecting game and learning (adaptation) partners affects the evolution of cooperation in public goods games on scale-free networks. We show the following three results. (i) Expanding the scope for selecting game partners suppresses cooperation. (ii) Expanding the scope for selecting learning partners promotes cooperation when cooperation evolution is difficult. (iii) When cooperation is more likely to evolve, slightly expanding the scope for selecting learning partners causes a significant drop in the cooperation rate, but expanding the scope further causes the cooperation rate to recover. Although (i) is explained by the hub-centered mechanism, the well-known dynamic that promotes cooperation on scale-free networks, (ii) and (iii) are caused by a completely different mechanism that has heretofore been rarely mentioned.

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Environment-based preference selection in spatial multigame with limited resource allocation and control

Luo

Sun

Liu

2021

Communications in Nonlinear Science and Numerical Simulation

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Scale-free growth of human society based on cooperation and altruistic punishment

Cited by 7 publications

References 25 publications

Evolution of cooperation in multiplex networks through asymmetry between interaction and replacement

Evolution of cooperation in multiplex networks through asymmetry between interaction and replacement

Effect of expanding learning scope on the evolution of cooperation in scale-free networks

Environment-based preference selection in spatial multigame with limited resource allocation and control

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