Learning and animal movement
Date
2021
Authors
Lewis, Mark A.
Fagan, William F.
Auger-Méthé, Marie
Frair, Jacqueline
Fryxell, John M.
Gros, Claudius
Gurarie, Eliezer
Healy, Susan D.
Merkle, Jerod A.
Journal Title
Journal ISSN
Volume Title
Publisher
Frontiers in Ecology and Evolution
Abstract
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.
Description
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Citation
Lewis, M. A., Fagan, W. F., Auger-Méthé, M., Frair, J., Fryxell, J. M., Gros, C., Gurarie, E., Healy, S. D., & Merkle, J. A. (2021). Learning and animal movement. Frontiers in Ecology and Evolution, 9. https://doi.org/10.3389/fevo.2021.681704