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Quantitative assessment can stabilize indirect reciprocity under imperfect information
The field of indirect reciprocity investigates how social norms can foster cooperation when individuals continuously monitor and assess each other’s social interactions. By adhering to certain social norms, cooperating individuals can improve their reputation and, in turn, receive benefits from othe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097696/ https://www.ncbi.nlm.nih.gov/pubmed/37045828 http://dx.doi.org/10.1038/s41467-023-37817-x |
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author | Schmid, Laura Ekbatani, Farbod Hilbe, Christian Chatterjee, Krishnendu |
author_facet | Schmid, Laura Ekbatani, Farbod Hilbe, Christian Chatterjee, Krishnendu |
author_sort | Schmid, Laura |
collection | PubMed |
description | The field of indirect reciprocity investigates how social norms can foster cooperation when individuals continuously monitor and assess each other’s social interactions. By adhering to certain social norms, cooperating individuals can improve their reputation and, in turn, receive benefits from others. Eight social norms, known as the “leading eight," have been shown to effectively promote the evolution of cooperation as long as information is public and reliable. These norms categorize group members as either ’good’ or ’bad’. In this study, we examine a scenario where individuals instead assign nuanced reputation scores to each other, and only cooperate with those whose reputation exceeds a certain threshold. We find both analytically and through simulations that such quantitative assessments are error-correcting, thus facilitating cooperation in situations where information is private and unreliable. Moreover, our results identify four specific norms that are robust to such conditions, and may be relevant for helping to sustain cooperation in natural populations. |
format | Online Article Text |
id | pubmed-10097696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100976962023-04-14 Quantitative assessment can stabilize indirect reciprocity under imperfect information Schmid, Laura Ekbatani, Farbod Hilbe, Christian Chatterjee, Krishnendu Nat Commun Article The field of indirect reciprocity investigates how social norms can foster cooperation when individuals continuously monitor and assess each other’s social interactions. By adhering to certain social norms, cooperating individuals can improve their reputation and, in turn, receive benefits from others. Eight social norms, known as the “leading eight," have been shown to effectively promote the evolution of cooperation as long as information is public and reliable. These norms categorize group members as either ’good’ or ’bad’. In this study, we examine a scenario where individuals instead assign nuanced reputation scores to each other, and only cooperate with those whose reputation exceeds a certain threshold. We find both analytically and through simulations that such quantitative assessments are error-correcting, thus facilitating cooperation in situations where information is private and unreliable. Moreover, our results identify four specific norms that are robust to such conditions, and may be relevant for helping to sustain cooperation in natural populations. Nature Publishing Group UK 2023-04-12 /pmc/articles/PMC10097696/ /pubmed/37045828 http://dx.doi.org/10.1038/s41467-023-37817-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Schmid, Laura Ekbatani, Farbod Hilbe, Christian Chatterjee, Krishnendu Quantitative assessment can stabilize indirect reciprocity under imperfect information |
title | Quantitative assessment can stabilize indirect reciprocity under imperfect information |
title_full | Quantitative assessment can stabilize indirect reciprocity under imperfect information |
title_fullStr | Quantitative assessment can stabilize indirect reciprocity under imperfect information |
title_full_unstemmed | Quantitative assessment can stabilize indirect reciprocity under imperfect information |
title_short | Quantitative assessment can stabilize indirect reciprocity under imperfect information |
title_sort | quantitative assessment can stabilize indirect reciprocity under imperfect information |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097696/ https://www.ncbi.nlm.nih.gov/pubmed/37045828 http://dx.doi.org/10.1038/s41467-023-37817-x |
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