Learning and animal movement

  • Integrating diverse concepts from animal behavior, movement ecology, and machine learning, we develop an overview of the ecology of learning and animal movement. Learning-based movement is clearly relevant to ecological problems, but the subject is rooted firmly in psychology, including a distinct terminology. We contrast this psychological origin of learning with the task-oriented perspective on learning that has emerged from the field of machine learning. We review conceptual frameworks that characterize the role of learning in movement, discuss emerging trends, and summarize recent developments in the analysis of movement data. We also discuss the relative advantages of different modeling approaches for exploring the learning-movement interface. We explore in depth how individual and social modalities of learning can matter to the ecology of animal movement, and highlight how diverse kinds of field studies, ranging from translocation efforts to manipulative experiments, can provide critical insight into the learning process in animal movement.

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Author:Mark A. Lewis, William F. FaganORCiD, Marie Auger-Méthé, Jacqueline Frair, John M. Fryxell, Claudius GrosORCiDGND, Eliezer Gurarie, Susan D. Healy, Jerod A. Merkle
Parent Title (English):Frontiers in Ecology and Evolution
Publisher:Frontiers Media
Place of publication:Lausanne
Document Type:Article
Date of Publication (online):2021/07/09
Date of first Publication:2021/07/09
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2021/08/30
Tag:animal cognition; decision-making; migration; reinforcement statistical learning; translocation
Issue:art. 681704
Page Number:20
First Page:1
Last Page:20
We acknowledge the following grants for supporting this research: NSERC Discovery (ML and MA-M), NSF DMS-1853465 (WF and EG), and Canada Research Chairs Program (ML and MA-M).
Institutes:Biowissenschaften / Biowissenschaften
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 59 Tiere (Zoologie) / 590 Tiere (Zoologie)
Licence (German):License LogoCreative Commons - Namensnennung 4.0