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Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish
View ORCID ProfileJolle W. Jolles, Nils Weimar, View ORCID ProfileTim Landgraf, View ORCID ProfilePawel Romanczuk, Jens Krause, View ORCID ProfileDavid Bierbach
doi: https://doi.org/10.1101/2020.06.10.143883
Jolle W. Jolles
1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, Konstanz
2Zukunftskolleg, University of Konstanz, Konstanz
Nils Weimar
3Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin
Tim Landgraf
4Department of Mathematics and Computer Science, Institute for Computer Science, Freie Universität Berlin, Berlin
5Excellence Cluster ‘Science of Intelligence’, Technische Universität Berlin, Berlin
Pawel Romanczuk
5Excellence Cluster ‘Science of Intelligence’, Technische Universität Berlin, Berlin
6Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Berlin
Jens Krause
3Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin
5Excellence Cluster ‘Science of Intelligence’, Technische Universität Berlin, Berlin
6Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Berlin
David Bierbach
3Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin
5Excellence Cluster ‘Science of Intelligence’, Technische Universität Berlin, Berlin
6Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Berlin
Posted June 12, 2020.
Group-level patterns emerge from individual speed as revealed by an extremely social robotic fish
Jolle W. Jolles, Nils Weimar, Tim Landgraf, Pawel Romanczuk, Jens Krause, David Bierbach
bioRxiv 2020.06.10.143883; doi: https://doi.org/10.1101/2020.06.10.143883
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