Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.

Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer ge...

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Autores principales:	Graciano Dieck Kattas, Xiao-Ke Xu, Michael Small
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/79d7b34b2a5e4bb58f29b4e4a48e0c00
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id	oai:doaj.org-article:79d7b34b2a5e4bb58f29b4e4a48e0c00
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spelling	oai:doaj.org-article:79d7b34b2a5e4bb58f29b4e4a48e0c002021-11-18T05:51:27ZDynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.1553-734X1553-735810.1371/journal.pcbi.1002449https://doaj.org/article/79d7b34b2a5e4bb58f29b4e4a48e0c002012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22479176/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally, any community. Using experimental field measurements of homing pigeons in flight we demonstrate the existence of a basic distance dependent attraction/repulsion relationship and show that this rule is sufficient to explain collective behavior observed in nature. Positional data of individuals over time are used as input data to a computational algorithm capable of building complex nonlinear functions that can represent the system behavior. Topological nearest neighbor interactions are considered to characterize the components within this model. The efficacy of this method is demonstrated with simulated noisy data generated from the classical (two dimensional) Vicsek model. When applied to experimental data from homing pigeon flights we show that the more complex three dimensional models are capable of simulating trajectories, as well as exhibiting realistic collective dynamics. The simulations of the reconstructed models are used to extract properties of the collective behavior in pigeons, and how it is affected by changing the initial conditions of the system. Our results demonstrate that this approach may be applied to construct models capable of simulating trajectories and collective dynamics using experimental field measurements of herd movement. From these models, the behavior of the individual agents (animals) may be inferred.Graciano Dieck KattasXiao-Ke XuMichael SmallPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 8, Iss 3, p e1002449 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Graciano Dieck Kattas Xiao-Ke Xu Michael Small Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
description	Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally, any community. Using experimental field measurements of homing pigeons in flight we demonstrate the existence of a basic distance dependent attraction/repulsion relationship and show that this rule is sufficient to explain collective behavior observed in nature. Positional data of individuals over time are used as input data to a computational algorithm capable of building complex nonlinear functions that can represent the system behavior. Topological nearest neighbor interactions are considered to characterize the components within this model. The efficacy of this method is demonstrated with simulated noisy data generated from the classical (two dimensional) Vicsek model. When applied to experimental data from homing pigeon flights we show that the more complex three dimensional models are capable of simulating trajectories, as well as exhibiting realistic collective dynamics. The simulations of the reconstructed models are used to extract properties of the collective behavior in pigeons, and how it is affected by changing the initial conditions of the system. Our results demonstrate that this approach may be applied to construct models capable of simulating trajectories and collective dynamics using experimental field measurements of herd movement. From these models, the behavior of the individual agents (animals) may be inferred.
format	article
author	Graciano Dieck Kattas Xiao-Ke Xu Michael Small
author_facet	Graciano Dieck Kattas Xiao-Ke Xu Michael Small
author_sort	Graciano Dieck Kattas
title	Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
title_short	Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
title_full	Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
title_fullStr	Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
title_full_unstemmed	Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
title_sort	dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/79d7b34b2a5e4bb58f29b4e4a48e0c00
work_keys_str_mv	AT gracianodieckkattas dynamicalmodelingofcollectivebehaviorfrompigeonflightdataflockcohesionanddispersion AT xiaokexu dynamicalmodelingofcollectivebehaviorfrompigeonflightdataflockcohesionanddispersion AT michaelsmall dynamicalmodelingofcollectivebehaviorfrompigeonflightdataflockcohesionanddispersion
_version_	1718424738309603328

Dynamical modeling of collective behavior from pigeon flight data: flock cohesion and dispersion.

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