Live fish learn to anticipate the movement of a fish-like robot

Poecilia reticulata anticipation biomimetic animals fish-robot interaction prediction robofish

Journal

Bioinspiration & biomimetics
ISSN: 1748-3190
Titre abrégé: Bioinspir Biomim
Pays: England
ID NLM: 101292902

Informations de publication

Date de publication:
18 10 2022
Historique:
received: 31 03 2022
accepted: 31 08 2022
pubmed: 1 9 2022
medline: 27 10 2022
entrez: 31 8 2022
Statut: epublish

Résumé

The ability of an individual to predict the outcome of the actions of others and to change their own behavior adaptively is called anticipation. There are many examples from mammalian species-including humans-that show anticipatory abilities in a social context, however, it is not clear to what extent fishes can anticipate the actions of their interaction partners or what the underlying mechanisms are for that anticipation. To answer these questions, we let live guppies (

Identifiants

pubmed: 36044889
doi: 10.1088/1748-3190/ac8e3e
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2022 IOP Publishing Ltd.

Auteurs

David Bierbach (D)

Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Berlin, Germany.
Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.
Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.

Luis Gómez-Nava (L)

Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.
Institute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany.

Fritz A Francisco (FA)

Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.
Institute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany.

Juliane Lukas (J)

Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Berlin, Germany.
Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.

Lea Musiolek (L)

Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.
Adaptive Systems Group, Department of Computer Science, Humboldt-Universität zu Berlin, Germany.

Verena V Hafner (VV)

Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.
Adaptive Systems Group, Department of Computer Science, Humboldt-Universität zu Berlin, Germany.

Tim Landgraf (T)

Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.
Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.

Pawel Romanczuk (P)

Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.
Institute for Theoretical Biology, Department of Biology, Humboldt-Universität zu Berlin, 10115 Berlin, Germany.
Bernstein Center for Computational Neuroscience, Berlin, Germany.

Jens Krause (J)

Faculty of Life Sciences, Thaer-Institute, Humboldt-Universität zu Berlin, Berlin, Germany.
Department of Biology and Ecology of Fishes, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.
Excellence Cluster 'Science of Intelligence', Technische Universität Berlin, 10587 Berlin, Germany.

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