Learning and Animal Movement
Learning and Animal Movement
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DOI：
10.3389/fevo.2021.681704
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发表时间：
2020-06
影响因子：
3.4
通讯作者：
M. Lewis;W. Fagan;M. Auger‐Méthé;Jacqueline L. Frair;J. Fryxell;C. Gros;E. Gurarie;S. Healy;J. Merkle
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文献类型：
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作者：
M. Lewis;W. Fagan;M. Auger‐Méthé;Jacqueline L. Frair;J. Fryxell;C. Gros;E. Gurarie;S. Healy;J. Merkle
整合来自动物行为，运动生态学和机器学习的不同概念，我们概述了学习和动物运动的生态学。以学习为基础的运动显然与生态问题有关，但这一主题深深植根于心理学，包括一个独特的术语。我们将这种学习的心理起源与机器学习领域出现的以任务为导向的学习观点进行了对比。我们回顾的概念框架，运动中学习的作用，讨论新出现的趋势，并总结了最近的发展，在运动数据的分析。我们还讨论了不同的建模方法探索学习运动接口的相对优势。我们深入探讨了学习的个人和社会模式如何影响动物运动的生态，并强调了从易位努力到操纵实验的各种实地研究如何为动物运动的学习过程提供关键的见解。
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.