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How Do Fish Use the Movement of Other Fish to Make Decisions?: From Individual Movement to Collective Decision Making
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
The University of Sydney, NSW, Australia.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Applied Mathematics and Statistics.
2013 (English)In: Proceedings of the European Conference on Complex Systems 2012 / [ed] Thomas Gilbert, Markus Kirkilionis, Gregoire Nicolis, 2013, Vol. V, 591-606 p.Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
2013. Vol. V, 591-606 p.
Series
Springer Proceedings in Complexity, ISSN 2213-8684
Keyword [en]
Collective animal behaviour, Decision making, SPP models, Fish
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-301517DOI: 10.1007/978-3-319-00395-5_73ISBN: 9783319003948 (print)ISBN: 9783319003955 (print)OAI: oai:DiVA.org:uu-301517DiVA: diva2:954834
Conference
European Conference on Complex Systems 2012
Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2016-10-04Bibliographically approved
In thesis
1. Modelling collective movement and transport network formation in living systems
Open this publication in new window or tab >>Modelling collective movement and transport network formation in living systems
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The emergence of collective patterns from repeated local interactions between individuals is a common feature to most living systems, spanning a variety of scales from cells to animals and humans. Subjects of this thesis are two aspects of emergent complexity in living systems: collective movement and transport network formation. For collective movement, this thesis studies the role of movement-mediated information transfer in fish decision-making. The second project on collective movement takes inspiration from granular media and soft mode analysis and develops a new approach to describe the emergence of collective phenomena from physical interactions in extremely dense crowds. As regards transport networks, this thesis proposes a model of network growth to extract simple, biologically plausible rules that reproduce topological properties of empirical ant trail networks.  In the second project on transport networks, this thesis starts from the simple rule of “connecting each new node to the closest one”, that describes ants building behavior, to study how balancing local building costs and global maintenance costs influences the growth and topological properties of transport networks. These projects are addressed through a modeling approach and with the aim of identifying minimal sets of basic mechanisms that are most likely responsible of large-scale complex patterns. Mathematical models are always based on empirical observations and are, when possible, compared to experimental data.

Place, publisher, year, edition, pages
Uppsala: Department of Mathematics, 2016. 56 p.
Series
Uppsala Dissertations in Mathematics, ISSN 1401-2049 ; 96
Keyword
animal collective behaviour, transport networks, crowd dynamics, complex systems, ants, fish
National Category
Mathematics
Research subject
Applied Mathematics and Statistics
Identifiers
urn:nbn:se:uu:diva-303943 (URN)978-91-506-2599-8 (ISBN)
Public defence
2016-11-25, Häggsalen, Ångströmslaboratoriet, Lägerhyddsvägen 1, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2016-11-03 Created: 2016-09-27 Last updated: 2016-11-15

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