Cargando…
The evolutionary extortion game of multiple groups in hypernetworks
As a type of zero-determinant strategies, the extortion strategy was found to be an evolutionarily stable strategy in structural groups. However, instead of complex networks structure, this paper focus on a multi-group game in hypernetworks, using the framework of a gift giving game driven by replic...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723122/ https://www.ncbi.nlm.nih.gov/pubmed/36471096 http://dx.doi.org/10.1038/s41598-022-25294-z |
_version_ | 1784844094771560448 |
---|---|
author | Shen, Aizhong Gao, Zilin Gao, Xiang Cui, Dan |
author_facet | Shen, Aizhong Gao, Zilin Gao, Xiang Cui, Dan |
author_sort | Shen, Aizhong |
collection | PubMed |
description | As a type of zero-determinant strategies, the extortion strategy was found to be an evolutionarily stable strategy in structural groups. However, instead of complex networks structure, this paper focus on a multi-group game in hypernetworks, using the framework of a gift giving game driven by replicator-like dynamics. We find that the extortion is evolutionarily stable in the hypernetwork structure. The extortion game in hypernetworks can promote the emergence of the cooperative behavior compared to the traditional dual-strategy game and the extortion game in complex networks. The results show that the cooperation behavior attracts most of the groups for the smaller benefit value. With the increase of benefit value, cooperators turn into defectors and extortioners, but cooperation behavior still survives in hypernetworks under extreme conditions. Moreover, small-scale groups are more conducive to cooperation. |
format | Online Article Text |
id | pubmed-9723122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97231222022-12-07 The evolutionary extortion game of multiple groups in hypernetworks Shen, Aizhong Gao, Zilin Gao, Xiang Cui, Dan Sci Rep Article As a type of zero-determinant strategies, the extortion strategy was found to be an evolutionarily stable strategy in structural groups. However, instead of complex networks structure, this paper focus on a multi-group game in hypernetworks, using the framework of a gift giving game driven by replicator-like dynamics. We find that the extortion is evolutionarily stable in the hypernetwork structure. The extortion game in hypernetworks can promote the emergence of the cooperative behavior compared to the traditional dual-strategy game and the extortion game in complex networks. The results show that the cooperation behavior attracts most of the groups for the smaller benefit value. With the increase of benefit value, cooperators turn into defectors and extortioners, but cooperation behavior still survives in hypernetworks under extreme conditions. Moreover, small-scale groups are more conducive to cooperation. Nature Publishing Group UK 2022-12-05 /pmc/articles/PMC9723122/ /pubmed/36471096 http://dx.doi.org/10.1038/s41598-022-25294-z Text en © The Author(s) 2022 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shen, Aizhong Gao, Zilin Gao, Xiang Cui, Dan The evolutionary extortion game of multiple groups in hypernetworks |
title | The evolutionary extortion game of multiple groups in hypernetworks |
title_full | The evolutionary extortion game of multiple groups in hypernetworks |
title_fullStr | The evolutionary extortion game of multiple groups in hypernetworks |
title_full_unstemmed | The evolutionary extortion game of multiple groups in hypernetworks |
title_short | The evolutionary extortion game of multiple groups in hypernetworks |
title_sort | evolutionary extortion game of multiple groups in hypernetworks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723122/ https://www.ncbi.nlm.nih.gov/pubmed/36471096 http://dx.doi.org/10.1038/s41598-022-25294-z |
work_keys_str_mv | AT shenaizhong theevolutionaryextortiongameofmultiplegroupsinhypernetworks AT gaozilin theevolutionaryextortiongameofmultiplegroupsinhypernetworks AT gaoxiang theevolutionaryextortiongameofmultiplegroupsinhypernetworks AT cuidan theevolutionaryextortiongameofmultiplegroupsinhypernetworks AT shenaizhong evolutionaryextortiongameofmultiplegroupsinhypernetworks AT gaozilin evolutionaryextortiongameofmultiplegroupsinhypernetworks AT gaoxiang evolutionaryextortiongameofmultiplegroupsinhypernetworks AT cuidan evolutionaryextortiongameofmultiplegroupsinhypernetworks |