TY  - JOUR
A1  - Lewis, Mark A.
A1  - Fagan, William F.
A1  - Auger-Méthé, Marie
A1  - Frair, Jacqueline
A1  - Fryxell, John M.
A1  - Gros, Claudius
A1  - Gurarie, Eliezer
A1  - Healy, Susan D.
A1  - Merkle, Jerod A.
T1  - Learning and animal movement
T2  - Frontiers in Ecology and Evolution
N2  - 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.
KW  - animal cognition
KW  - decision-making
KW  - migration
KW  - reinforcement statistical learning
KW  - translocation
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/62448
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-624482
SN  - 2296-701X
N1  - 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).
VL  - 9
IS  - art. 681704
SP  - 1
EP  - 20
PB  - Frontiers Media
CY  - Lausanne
ER  -