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Explaining workers’ inactivity in social colonies from first principles

Social insects are among the ecologically most successful collectively living organisms, with efficient division of labour a key feature of this success. Surprisingly, these efficient colonies often have a large proportion of inactive workers in their workforce, sometimes referred to as lazy workers...

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Autores principales: Khajehnejad, Moein, García, Julian, Meyer, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810424/
https://www.ncbi.nlm.nih.gov/pubmed/36596450
http://dx.doi.org/10.1098/rsif.2022.0808
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author Khajehnejad, Moein
García, Julian
Meyer, Bernd
author_facet Khajehnejad, Moein
García, Julian
Meyer, Bernd
author_sort Khajehnejad, Moein
collection PubMed
description Social insects are among the ecologically most successful collectively living organisms, with efficient division of labour a key feature of this success. Surprisingly, these efficient colonies often have a large proportion of inactive workers in their workforce, sometimes referred to as lazy workers. The dominant hypotheses explaining this are based on specific life-history traits, specific behavioural features or uncertain environments where inactive workers can provide a ‘reserve’ workforce that can spring into action quickly. While there is a number of experimental studies that show and investigate the presence of inactive workers, mathematical and computational models exploring specific hypotheses are not common. Here, using a simple mathematical model, we show that a parsimonious hypothesis can explain this puzzling social phenomenon. Our model incorporates social interactions and environmental influences into a game-theoretical framework and captures how individuals react to environment by allocating their activity according to environmental conditions. This model shows that inactivity can emerge under specific environmental conditions as a by-product of the task allocation process. Our model confirms the empirical observation that in the case of worker loss, prior homeostatic balance is re-established by replacing some of the lost force with previously inactive workers. Most importantly, our model shows that inactivity in social colonies can be explained without the need to assume an adaptive function for this phenomenon.
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spelling pubmed-98104242023-01-11 Explaining workers’ inactivity in social colonies from first principles Khajehnejad, Moein García, Julian Meyer, Bernd J R Soc Interface Life Sciences–Mathematics interface Social insects are among the ecologically most successful collectively living organisms, with efficient division of labour a key feature of this success. Surprisingly, these efficient colonies often have a large proportion of inactive workers in their workforce, sometimes referred to as lazy workers. The dominant hypotheses explaining this are based on specific life-history traits, specific behavioural features or uncertain environments where inactive workers can provide a ‘reserve’ workforce that can spring into action quickly. While there is a number of experimental studies that show and investigate the presence of inactive workers, mathematical and computational models exploring specific hypotheses are not common. Here, using a simple mathematical model, we show that a parsimonious hypothesis can explain this puzzling social phenomenon. Our model incorporates social interactions and environmental influences into a game-theoretical framework and captures how individuals react to environment by allocating their activity according to environmental conditions. This model shows that inactivity can emerge under specific environmental conditions as a by-product of the task allocation process. Our model confirms the empirical observation that in the case of worker loss, prior homeostatic balance is re-established by replacing some of the lost force with previously inactive workers. Most importantly, our model shows that inactivity in social colonies can be explained without the need to assume an adaptive function for this phenomenon. The Royal Society 2023-01-04 /pmc/articles/PMC9810424/ /pubmed/36596450 http://dx.doi.org/10.1098/rsif.2022.0808 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Mathematics interface
Khajehnejad, Moein
García, Julian
Meyer, Bernd
Explaining workers’ inactivity in social colonies from first principles
title Explaining workers’ inactivity in social colonies from first principles
title_full Explaining workers’ inactivity in social colonies from first principles
title_fullStr Explaining workers’ inactivity in social colonies from first principles
title_full_unstemmed Explaining workers’ inactivity in social colonies from first principles
title_short Explaining workers’ inactivity in social colonies from first principles
title_sort explaining workers’ inactivity in social colonies from first principles
topic Life Sciences–Mathematics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810424/
https://www.ncbi.nlm.nih.gov/pubmed/36596450
http://dx.doi.org/10.1098/rsif.2022.0808
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