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E-Thesis 1173 views 657 downloads

Collective Behaviour: From Cells to Humans / Mathieu Duteil

Swansea University Author: Mathieu Duteil

DOI (Published version): 10.23889/Suthesis.50750

Abstract

Living in organised groups is a strategy that can be observed in a multitude of diverse species. Among such species, the behaviour of an individual on their own is not the same as within a group: the environment is modified by the presence of more subjects, individuals interact with each other, and...

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Published: 2018
Institution: Swansea University
Degree level: Doctoral
Degree name: Ph.D
URI: https://cronfa.swan.ac.uk/Record/cronfa50750
first_indexed 2019-06-07T14:58:25Z
last_indexed 2023-01-11T14:27:19Z
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spelling 2022-12-18T10:01:53.7574834 v2 50750 2019-06-07 Collective Behaviour: From Cells to Humans e266477acdae4e4afad4645262a8737c Mathieu Duteil Mathieu Duteil true false 2019-06-07 Living in organised groups is a strategy that can be observed in a multitude of diverse species. Among such species, the behaviour of an individual on their own is not the same as within a group: the environment is modified by the presence of more subjects, individuals interact with each other, and from those interactions complex patterns of behaviour can emerge. Some species of animals almost exclusively exist as groups, and as a consequence, studying them in a social context is the only way to understand their behaviour in nature. This is the idea that drives all the research presented in this thesis: the particular behaviour exhibited by the group is so robust that it will emerge even in a very simplified environment. By observing the individual and the group in those simplified experimental conditions, it is possible to deduce rules that might govern the interaction. The importance of interactions in the group’s behaviour can then be demonstrated by implementing a computer model of agents following those rules and comparing it with natural and experimental behaviour. This thesis presents different examples of such analyses, and gives illustrations of the range of questions that can be answered through this method. Groups of stem cells, juvenile sea bass and human beings were successively observed and tracked in suitable environments, with or without perturbation. The data extracted from those experiments were then processed so as to correct recording errors, and individual and collective behaviours were derived from those data, returning new insights on the nature of the interaction at the individual level, their consequences at the global level, as well as the effects of the interaction on both. Finally, I present the computer models derived from those analyses. Many systems in nature share this property of global behaviours emerging from deterministic local interaction, and as a consequence studies of this kind could shed light on important questions, of which cancer treatment, ocean acidification and human organisations are but a few examples. E-Thesis Collective behaviour, stem cells, fluorescence microscopy, flow cytometry, multi-platform analysis, sea bass, ocean acidification, foraging, multi-arm bandit, computer model 31 12 2018 2018-12-31 10.23889/Suthesis.50750 A selection of third party content is redacted or is partially redacted from this thesis. COLLEGE NANME COLLEGE CODE Swansea University Doctoral Ph.D 2022-12-18T10:01:53.7574834 2019-06-07T10:23:10.5177628 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Mathieu Duteil 1 0050750-07062019114103.pdf Duteil_Mathieu_PhD_Thesis_Final_Redacted.pdf 2019-06-07T11:41:03.8930000 Output 31356434 application/pdf Redacted version - open access true 2019-06-06T00:00:00.0000000 true
title Collective Behaviour: From Cells to Humans
spellingShingle Collective Behaviour: From Cells to Humans
Mathieu Duteil
title_short Collective Behaviour: From Cells to Humans
title_full Collective Behaviour: From Cells to Humans
title_fullStr Collective Behaviour: From Cells to Humans
title_full_unstemmed Collective Behaviour: From Cells to Humans
title_sort Collective Behaviour: From Cells to Humans
author_id_str_mv e266477acdae4e4afad4645262a8737c
author_id_fullname_str_mv e266477acdae4e4afad4645262a8737c_***_Mathieu Duteil
author Mathieu Duteil
author2 Mathieu Duteil
format E-Thesis
publishDate 2018
institution Swansea University
doi_str_mv 10.23889/Suthesis.50750
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Living in organised groups is a strategy that can be observed in a multitude of diverse species. Among such species, the behaviour of an individual on their own is not the same as within a group: the environment is modified by the presence of more subjects, individuals interact with each other, and from those interactions complex patterns of behaviour can emerge. Some species of animals almost exclusively exist as groups, and as a consequence, studying them in a social context is the only way to understand their behaviour in nature. This is the idea that drives all the research presented in this thesis: the particular behaviour exhibited by the group is so robust that it will emerge even in a very simplified environment. By observing the individual and the group in those simplified experimental conditions, it is possible to deduce rules that might govern the interaction. The importance of interactions in the group’s behaviour can then be demonstrated by implementing a computer model of agents following those rules and comparing it with natural and experimental behaviour. This thesis presents different examples of such analyses, and gives illustrations of the range of questions that can be answered through this method. Groups of stem cells, juvenile sea bass and human beings were successively observed and tracked in suitable environments, with or without perturbation. The data extracted from those experiments were then processed so as to correct recording errors, and individual and collective behaviours were derived from those data, returning new insights on the nature of the interaction at the individual level, their consequences at the global level, as well as the effects of the interaction on both. Finally, I present the computer models derived from those analyses. Many systems in nature share this property of global behaviours emerging from deterministic local interaction, and as a consequence studies of this kind could shed light on important questions, of which cancer treatment, ocean acidification and human organisations are but a few examples.
published_date 2018-12-31T05:59:54Z
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score 11.090362

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