Cargando…
An equation of state for insect swarms
Collective behaviour in flocks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. Howev...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881103/ https://www.ncbi.nlm.nih.gov/pubmed/33580191 http://dx.doi.org/10.1038/s41598-021-83303-z |
_version_ | 1783650804980252672 |
---|---|
author | Sinhuber, Michael van der Vaart, Kasper Feng, Yenchia Reynolds, Andrew M. Ouellette, Nicholas T. |
author_facet | Sinhuber, Michael van der Vaart, Kasper Feng, Yenchia Reynolds, Andrew M. Ouellette, Nicholas T. |
author_sort | Sinhuber, Michael |
collection | PubMed |
description | Collective behaviour in flocks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. However, this requires understanding the precise properties and function of groups, which remains a challenge. Here, we demonstrate that collective groups can be described in a thermodynamic framework. We define an appropriate set of state variables and extract an equation of state for laboratory midge swarms. We then drive swarms through “thermodynamic” cycles via external stimuli, and show that our equation of state holds throughout. Our findings demonstrate a new way of precisely quantifying the nature of collective groups and provide a cornerstone for potential future engineering design. |
format | Online Article Text |
id | pubmed-7881103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78811032021-02-16 An equation of state for insect swarms Sinhuber, Michael van der Vaart, Kasper Feng, Yenchia Reynolds, Andrew M. Ouellette, Nicholas T. Sci Rep Article Collective behaviour in flocks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. However, this requires understanding the precise properties and function of groups, which remains a challenge. Here, we demonstrate that collective groups can be described in a thermodynamic framework. We define an appropriate set of state variables and extract an equation of state for laboratory midge swarms. We then drive swarms through “thermodynamic” cycles via external stimuli, and show that our equation of state holds throughout. Our findings demonstrate a new way of precisely quantifying the nature of collective groups and provide a cornerstone for potential future engineering design. Nature Publishing Group UK 2021-02-12 /pmc/articles/PMC7881103/ /pubmed/33580191 http://dx.doi.org/10.1038/s41598-021-83303-z Text en © The Author(s) 2021 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/. |
spellingShingle | Article Sinhuber, Michael van der Vaart, Kasper Feng, Yenchia Reynolds, Andrew M. Ouellette, Nicholas T. An equation of state for insect swarms |
title | An equation of state for insect swarms |
title_full | An equation of state for insect swarms |
title_fullStr | An equation of state for insect swarms |
title_full_unstemmed | An equation of state for insect swarms |
title_short | An equation of state for insect swarms |
title_sort | equation of state for insect swarms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881103/ https://www.ncbi.nlm.nih.gov/pubmed/33580191 http://dx.doi.org/10.1038/s41598-021-83303-z |
work_keys_str_mv | AT sinhubermichael anequationofstateforinsectswarms AT vandervaartkasper anequationofstateforinsectswarms AT fengyenchia anequationofstateforinsectswarms AT reynoldsandrewm anequationofstateforinsectswarms AT ouellettenicholast anequationofstateforinsectswarms AT sinhubermichael equationofstateforinsectswarms AT vandervaartkasper equationofstateforinsectswarms AT fengyenchia equationofstateforinsectswarms AT reynoldsandrewm equationofstateforinsectswarms AT ouellettenicholast equationofstateforinsectswarms |