Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/168007
Authors: 
Sasaki, Tatsuya
Yamamoto, Hitoshi
Okada, Isamu
Uchida, Satoshi
Year of Publication: 
2017
Citation: 
[Journal:] Games [ISSN:] 2073-4336 [Volume:] 8 [Year:] 2017 [Issue:] 1 [Pages:] 1-16
Abstract: 
Despite recent advances in reputation technologies, it is not clear how reputation systems can affect human cooperation in social networks. Although it is known that two of the major mechanisms in the evolution of cooperation are spatial selection and reputation-based reciprocity, theoretical study of the interplay between both mechanisms remains almost uncharted. Here, we present a new individual-based model for the evolution of reciprocal cooperation between reputation and networks. We comparatively analyze four of the leading moral assessment rules-shunning, image scoring, stern judging, and simple standing-and base the model on the giving game in regular networks for Cooperators, Defectors, and Discriminators. Discriminators rely on a proper moral assessment rule. By using individual-based models, we show that the four assessment rules are differently characterized in terms of how cooperation evolves, depending on the benefit-to-cost ratio, the network-node degree, and the observation and error conditions. Our findings show that the most tolerant rule-simple standing-is the most robust among the four assessment rules in promoting cooperation in regular networks.
Subjects: 
evolution of cooperation
indirect reciprocity
structured population
social norm
private information
JEL: 
C72
C73
D63
D64
D82
D85
Persistent Identifier of the first edition: 
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Article
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