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Learning and animal movement
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dc.contributor.author | Lewis, Mark A. | |
dc.contributor.author | Fagan, William F. | |
dc.contributor.author | Auger-Méthé, Marie | |
dc.contributor.author | Frair, Jacqueline | |
dc.contributor.author | Fryxell, John M. | |
dc.contributor.author | Gros, Claudius | |
dc.contributor.author | Gurarie, Eliezer | |
dc.contributor.author | Healy, Susan D. | |
dc.contributor.author | Merkle, Jerod A. | |
dc.date.accessioned | 2021-07-14T16:30:05Z | |
dc.date.available | 2021-07-14T16:30:05Z | |
dc.date.issued | 2021-07-09 | |
dc.identifier | 275055802 | |
dc.identifier | 9a5ce479-bb86-4766-8e90-d37428e68be5 | |
dc.identifier | 85111069859 | |
dc.identifier | 000675624300001 | |
dc.identifier.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 , vol. 9 , 681704 . https://doi.org/10.3389/fevo.2021.681704 | en |
dc.identifier.issn | 2296-701X | |
dc.identifier.other | Bibtex: 10.3389/fevo.2021.681704 | |
dc.identifier.other | ORCID: /0000-0002-8059-4480/work/97129737 | |
dc.identifier.uri | https://hdl.handle.net/10023/23569 | |
dc.description | Authors 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). | en |
dc.description.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. | |
dc.format.extent | 20 | |
dc.format.extent | 1537307 | |
dc.language.iso | eng | |
dc.relation.ispartof | Frontiers in Ecology and Evolution | en |
dc.subject | Animal cognition | en |
dc.subject | Decision-making | en |
dc.subject | Migration | en |
dc.subject | Reinforcement statistical learning | en |
dc.subject | Translocation | en |
dc.subject | QH301 Biology | en |
dc.subject | T-NDAS | en |
dc.subject.lcc | QH301 | en |
dc.title | Learning and animal movement | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Centre for Biological Diversity | en |
dc.contributor.institution | University of St Andrews. Institute of Behavioural and Neural Sciences | en |
dc.contributor.institution | University of St Andrews. Centre for Social Learning & Cognitive Evolution | en |
dc.identifier.doi | https://doi.org/10.3389/fevo.2021.681704 | |
dc.description.status | Peer reviewed | en |
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