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How Do Fish Use the Movement of Other Fish to Make Decisions?: From Individual Movement to Collective Decision Making
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Matematiska institutionen, Tillämpad matematik och statistik.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Matematiska institutionen, Tillämpad matematik och statistik.
The University of Sydney, NSW, Australia.
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Matematiska institutionen, Tillämpad matematik och statistik.
2013 (engelsk)Inngår i: Proceedings of the European Conference on Complex Systems 2012 / [ed] Thomas Gilbert, Markus Kirkilionis, Gregoire Nicolis, 2013, Vol. V, s. 591-606Konferansepaper, Publicerat paper (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
2013. Vol. V, s. 591-606
Serie
Springer Proceedings in Complexity, ISSN 2213-8684
Emneord [en]
Collective animal behaviour, Decision making, SPP models, Fish
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-301517DOI: 10.1007/978-3-319-00395-5_73ISBN: 9783319003948 (tryckt)ISBN: 9783319003955 (tryckt)OAI: oai:DiVA.org:uu-301517DiVA, id: diva2:954834
Konferanse
European Conference on Complex Systems 2012
Tilgjengelig fra: 2016-08-23 Laget: 2016-08-23 Sist oppdatert: 2016-10-04bibliografisk kontrollert
Inngår i avhandling
1. Modelling collective movement and transport network formation in living systems
Åpne denne publikasjonen i ny fane eller vindu >>Modelling collective movement and transport network formation in living systems
2016 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Uppsala: Department of Mathematics, 2016. s. 56
Serie
Uppsala Dissertations in Mathematics, ISSN 1401-2049 ; 96
Emneord
animal collective behaviour, transport networks, crowd dynamics, complex systems, ants, fish
HSV kategori
Forskningsprogram
Tillämpad matematik och statistik
Identifikatorer
urn:nbn:se:uu:diva-303943 (URN)978-91-506-2599-8 (ISBN)
Disputas
2016-11-25, Häggsalen, Ångströmslaboratoriet, Lägerhyddsvägen 1, Uppsala, 09:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2016-11-03 Laget: 2016-09-27 Sist oppdatert: 2016-11-15

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