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Reputation preferences resolve social dilemmas in spatial multigames [Elektronski vir]Li, Xiaopeng ...Heterogeneity and difference in the dynamics of individual reputation may strongly affect learning behavior, and hence also the evolution of cooperation within a population. Motivated by this, we ... propose here an evolutionary spatial multigames model, wherein the reputation of an individual increases if they cooperate and decreases if they defect. After the payoffs are determined, individuals with a higher reputation will be more likely to act as strategy sources for other individuals. We perform systematic Monte Carlo simulations to determine the transitions between cooperation and defection, as well as the parameter regions of strategic coexistence. We show that preferential learning, based on dynamic reputation changes, strongly promotes cooperation regardless of the interaction network's structure. The mechanism responsible for more favorable evolutionary outcomes is enhanced network reciprocity, which leads to more compact cooperator clusters and thus to more robust spatiotemporal dynamics that are resilient to invading defectors. Our research may improve the understanding of selection patterns that favor the emergence and persistence of cooperative behavior.Source: Journal of statistical mechanics [Elektronski vir]. - ISSN 1742-5468 (Vol. 2021, art. no. 013403, Jan. 2021, str. 1-25)Type of material - e-article ; adult, seriousPublish date - 2021Language - englishCOBISS.SI-ID - 48843523
Author | Li, Xiaopeng ... |
Title | Reputation preferences resolve social dilemmas in spatial multigames [Elektronski vir] |
Publication date | 2021-01-18 |
COBISS.SI-ID | 48843523 |
Publication version in repository | Unidentified |
Publication licence | Unidentified |
Embargo | Unidentified |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
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Fazni prehodi proti koordinaciji v večplastnih omrežjih | J1-2457-2020 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
|
Računsko intenzivni kompleksni sistemi | P1-0403-2019 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Li, Xiaopeng | |
Hao, Gang | |
Wang, Huaibin | |
Xia, Chengyi | |
Perc, Matjaž | 23428 |
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