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The Physics of Animal Behavior: Form, Function, and Interactions
Annual Review of Condensed Matter Physics ( IF 14.3 ) Pub Date : 2024-03-11 , DOI: 10.1146/annurev-conmatphys-040821-120442 Calvin A. Riiska 1 , Chantal Nguyen 2 , Orit Peleg 2, 3, 4, 5, 6 , Jennifer M. Rieser 1
Annual Review of Condensed Matter Physics ( IF 14.3 ) Pub Date : 2024-03-11 , DOI: 10.1146/annurev-conmatphys-040821-120442 Calvin A. Riiska 1 , Chantal Nguyen 2 , Orit Peleg 2, 3, 4, 5, 6 , Jennifer M. Rieser 1
Affiliation
Understanding the physics of behavior in animals is a challenging and fascinating area of research that has gained increasing attention in recent years. In this review, we delve into the intricate temporal and spatial scales of animal behavior for both individuals and collectives. We explore the experimental and theoretical approaches used to study behavior, highlighting the importance of feedback loops, emergent behavior, and environmental factors in shaping the actions of creatures great and small. The emergence of novel technologies, such as high-speed imaging and tracking, has provided unparalleled insight into the captivating nuances of animal behavior, and we review how these insights have been used to validate physics-based models of animal behavior. We also consider the potential applications of this research in robotics and artificial intelligence, identify new areas for exploration, and envision the possibility of further breakthroughs that will illuminate the complex dynamics of animal behavior.
中文翻译:
动物行为的物理学:形式、功能和相互作用
了解动物行为的物理学是一个具有挑战性和迷人的研究领域,近年来越来越受到关注。在这篇综述中,我们深入研究了个体和集体动物行为的复杂时间和空间尺度。我们探索了用于研究行为的实验和理论方法,强调了反馈回路、紧急行为和环境因素在塑造大大小小生物行为中的重要性。高速成像和跟踪等新技术的出现为动物行为的迷人细微差别提供了无与伦比的见解,我们回顾了如何将这些见解用于验证基于物理的动物行为模型。我们还考虑了这项研究在机器人技术和人工智能方面的潜在应用,确定了新的探索领域,并设想了进一步突破的可能性,这些突破将阐明动物行为的复杂动力学。
更新日期:2024-03-11
中文翻译:
动物行为的物理学:形式、功能和相互作用
了解动物行为的物理学是一个具有挑战性和迷人的研究领域,近年来越来越受到关注。在这篇综述中,我们深入研究了个体和集体动物行为的复杂时间和空间尺度。我们探索了用于研究行为的实验和理论方法,强调了反馈回路、紧急行为和环境因素在塑造大大小小生物行为中的重要性。高速成像和跟踪等新技术的出现为动物行为的迷人细微差别提供了无与伦比的见解,我们回顾了如何将这些见解用于验证基于物理的动物行为模型。我们还考虑了这项研究在机器人技术和人工智能方面的潜在应用,确定了新的探索领域,并设想了进一步突破的可能性,这些突破将阐明动物行为的复杂动力学。