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Title:Reputation and reciprocity : review
Authors:ID Xia, Chengyi (Author)
ID Wang, Juan (Author)
ID Perc, Matjaž (Author)
ID Wang, Zhen (Author)
Files:.pdf RAZ_Xia_Chengyi_2023.pdf (4,71 MB)
MD5: 44863AF66E9E6B2935C037E40DF5B69D
 
URL https://doi.org/10.1016/j.plrev.2023.05.002
 
Language:English
Work type:Article
Typology:1.02 - Review Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Reputation and reciprocity are key mechanisms for cooperation in human societies, often going hand in hand to favor prosocial behavior over selfish actions. Here we review recent researches at the interface of physics and evolutionary game theory that explored these two mechanisms. We focus on image scoring as the bearer of reputation, as well as on various types of reciprocity, including direct, indirect, and network reciprocity. We review different definitions of reputation and reciprocity dynamics, and we show how these affect the evolution of cooperation in social dilemmas. We consider first-order, second-order, as well as higherorder models in well-mixed and structured populations, and we review experimental works that support and inform the results of mathematical modeling and simulations. We also provide a synthesis of the reviewed researches along with an outlook in terms of six directions that seem particularly promising to explore in the future.
Keywords:pattern formation, Monte Carlo method, complex network, evolutionary game theory, cooperation, social physics
Publication status:Published
Publication version:Version of Record
Submitted for review:30.03.2023
Article acceptance date:04.05.2023
Publication date:10.05.2023
Publisher:Elsevier
Year of publishing:2023
Number of pages:str. 8-45
Numbering:Vol. 46
PID:20.500.12556/DKUM-88184 New window
UDC:53
ISSN on article:1571-0645
COBISS.SI-ID:153985539 New window
DOI:10.1016/j.plrev.2023.05.002 New window
Publication date in DKUM:20.06.2024
Views:147
Downloads:7
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Physics of life reviews
Publisher:Elsevier
ISSN:1571-0645
COBISS.SI-ID:512589593 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2457-2020
Name:Fazni prehodi proti koordinaciji v večplastnih omrežjih

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:tvorjenje vzorcev, metoda Monte Carlo, kompleksno omrežje, evolucijska teorija iger, sodelovanje, fizika družbe


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