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The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism
BACKGROUND: In recent years, the average abundance function has attracted much attention as it reflects the degree of cooperation in the population. Then it is significant to analyse how average abundance functions can be increased to promote the proliferation of cooperative behaviour. However, furt...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336419/ https://www.ncbi.nlm.nih.gov/pubmed/34348658 http://dx.doi.org/10.1186/s12862-021-01847-0 |
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author | Xia, Ke |
author_facet | Xia, Ke |
author_sort | Xia, Ke |
collection | PubMed |
description | BACKGROUND: In recent years, the average abundance function has attracted much attention as it reflects the degree of cooperation in the population. Then it is significant to analyse how average abundance functions can be increased to promote the proliferation of cooperative behaviour. However, further theoretical analysis for average abundance function with mutation under redistribution mechanism is still lacking. Furthermore, the theoretical basis for the corresponding numerical simulation is not sufficiently understood. RESULTS: We have deduced the approximate expressions of average abundance function with mutation under redistribution mechanism on the basis of different levels of selection intensity [Formula: see text] (sufficiently small and large enough). In addition, we have analysed the influence of the size of group d, multiplication factor r, cost c, aspiration level [Formula: see text] on average abundance function from both quantitative and qualitative aspects. CONCLUSIONS: (1) The approximate expression will become the linear equation related to selection intensity when [Formula: see text] is sufficiently small. (2) On one hand, approximation expression when [Formula: see text] is large enough is not available when r is small and m is large. On the other hand, this approximation expression will become more reliable when [Formula: see text] is larger. (3) On the basis of the expected payoff function [Formula: see text] and function [Formula: see text] , the corresponding results for the effects of parameters (d,r,c,[Formula: see text] ) on average abundance function [Formula: see text] have been explained. |
format | Online Article Text |
id | pubmed-8336419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83364192021-08-06 The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism Xia, Ke BMC Ecol Evol Research Article BACKGROUND: In recent years, the average abundance function has attracted much attention as it reflects the degree of cooperation in the population. Then it is significant to analyse how average abundance functions can be increased to promote the proliferation of cooperative behaviour. However, further theoretical analysis for average abundance function with mutation under redistribution mechanism is still lacking. Furthermore, the theoretical basis for the corresponding numerical simulation is not sufficiently understood. RESULTS: We have deduced the approximate expressions of average abundance function with mutation under redistribution mechanism on the basis of different levels of selection intensity [Formula: see text] (sufficiently small and large enough). In addition, we have analysed the influence of the size of group d, multiplication factor r, cost c, aspiration level [Formula: see text] on average abundance function from both quantitative and qualitative aspects. CONCLUSIONS: (1) The approximate expression will become the linear equation related to selection intensity when [Formula: see text] is sufficiently small. (2) On one hand, approximation expression when [Formula: see text] is large enough is not available when r is small and m is large. On the other hand, this approximation expression will become more reliable when [Formula: see text] is larger. (3) On the basis of the expected payoff function [Formula: see text] and function [Formula: see text] , the corresponding results for the effects of parameters (d,r,c,[Formula: see text] ) on average abundance function [Formula: see text] have been explained. BioMed Central 2021-08-04 /pmc/articles/PMC8336419/ /pubmed/34348658 http://dx.doi.org/10.1186/s12862-021-01847-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Xia, Ke The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
title | The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
title_full | The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
title_fullStr | The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
title_full_unstemmed | The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
title_short | The characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
title_sort | characteristics of average abundance function with mutation of multi-player threshold public goods evolutionary game model under redistribution mechanism |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336419/ https://www.ncbi.nlm.nih.gov/pubmed/34348658 http://dx.doi.org/10.1186/s12862-021-01847-0 |
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