Sumpter, DJT, Mann, RP and Perna, A (2012) The modelling cycle for collective animal behaviour. Interface Focus. pp. 764-773. ISSN 2042-8898
Abstract
Collective animal behaviour is the study of how interactions between individuals produce group level patterns, and why these interactions have evolved. This study has proved itself uniquely interdisciplinary, involving physicists, mathematicians, engineers as well as biologists. Almost all experimental work in this area is related directly or indirectly to mathematical models, with regular movement back and forth between models, experimental data and statistical fitting. In this paper, we describe how the modelling cycle works in the study of collective animal behaviour. We classify studies as addressing questions at different levels or linking different levels, i.e. as local, local to global, global to local or global. We also describe three distinct approaches—theory-driven, data-driven and model selection—to these questions. We show, with reference to our own research on species across different taxa, how we move between these different levels of description and how these various approaches can be applied to link levels together.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2012, The Royal Society. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | collective animal behaviour; theoretical modelling; collective motion |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2016 11:17 |
Last Modified: | 15 Jan 2018 17:21 |
Published Version: | http://dx.doi.org/10.1098/rsfs.2012.0031 |
Status: | Published |
Publisher: | The Royal Society |
Identification Number: | 10.1098/rsfs.2012.0031 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88988 |