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Modelling animal contests based on spatio-temporal dynamics

We present a general theoretical model for the spatio-temporal dynamics of animal contests. Inspired by interactions between physical particles, the model is formulated in terms of effective interaction potentials, which map typical elements of contest behaviour into empirically verifiable rules of...

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Detalles Bibliográficos
Autores principales: Haluts, Amir, Jordan, Alex, Gov, Nir S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206449/
https://www.ncbi.nlm.nih.gov/pubmed/37221864
http://dx.doi.org/10.1098/rsif.2022.0866
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author Haluts, Amir
Jordan, Alex
Gov, Nir S.
author_facet Haluts, Amir
Jordan, Alex
Gov, Nir S.
author_sort Haluts, Amir
collection PubMed
description We present a general theoretical model for the spatio-temporal dynamics of animal contests. Inspired by interactions between physical particles, the model is formulated in terms of effective interaction potentials, which map typical elements of contest behaviour into empirically verifiable rules of contestant motion. This allows us to simulate the observable dynamics of contests in various realistic scenarios, notably in dyadic contests over a localized resource. Assessment strategies previously formulated in game-theoretic models, as well as the effects of fighting costs, can be described as variations in our model’s parameters. Furthermore, the trends of contest duration associated with these assessment strategies can be derived and understood within the model. Detailed description of the contestants’ motion enables the exploration of spatio-temporal properties of asymmetric contests, such as the emergence of chase dynamics. Overall, our framework aims to bridge the growing gap between empirical capabilities and theory in this widespread aspect of animal behaviour.
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spelling pubmed-102064492023-05-25 Modelling animal contests based on spatio-temporal dynamics Haluts, Amir Jordan, Alex Gov, Nir S. J R Soc Interface Life Sciences–Physics interface We present a general theoretical model for the spatio-temporal dynamics of animal contests. Inspired by interactions between physical particles, the model is formulated in terms of effective interaction potentials, which map typical elements of contest behaviour into empirically verifiable rules of contestant motion. This allows us to simulate the observable dynamics of contests in various realistic scenarios, notably in dyadic contests over a localized resource. Assessment strategies previously formulated in game-theoretic models, as well as the effects of fighting costs, can be described as variations in our model’s parameters. Furthermore, the trends of contest duration associated with these assessment strategies can be derived and understood within the model. Detailed description of the contestants’ motion enables the exploration of spatio-temporal properties of asymmetric contests, such as the emergence of chase dynamics. Overall, our framework aims to bridge the growing gap between empirical capabilities and theory in this widespread aspect of animal behaviour. The Royal Society 2023-05-24 /pmc/articles/PMC10206449/ /pubmed/37221864 http://dx.doi.org/10.1098/rsif.2022.0866 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–Physics interface
Haluts, Amir
Jordan, Alex
Gov, Nir S.
Modelling animal contests based on spatio-temporal dynamics
title Modelling animal contests based on spatio-temporal dynamics
title_full Modelling animal contests based on spatio-temporal dynamics
title_fullStr Modelling animal contests based on spatio-temporal dynamics
title_full_unstemmed Modelling animal contests based on spatio-temporal dynamics
title_short Modelling animal contests based on spatio-temporal dynamics
title_sort modelling animal contests based on spatio-temporal dynamics
topic Life Sciences–Physics interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206449/
https://www.ncbi.nlm.nih.gov/pubmed/37221864
http://dx.doi.org/10.1098/rsif.2022.0866
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