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首页> 外文期刊>Philosophical transactions of the Royal Society. Mathematical, physical, and engineering sciences >Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences
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Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences

机译:耦合功能:物理,生物和社会科学中的动态相互作用机制

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摘要

Dynamical systems are widespread, with examples in physics, chemistry, biology, population dynamics, communications, climatology and social science. They are rarely isolated but generally interact with each other. These interactions can be characterized by coupling functions-which contain detailed information about the functional mechanisms underlying the interactions and prescribe the physical rule specifying how each interaction occurs. Coupling functions can be used, not only to understand, but also to control and predict the outcome of the interactions. This theme issue assembles ground-breaking work on coupling functions by leading scientists. After overviewing the field and describing recent advances in the theory, it discusses novel methods for the detection and reconstruction of coupling functions from measured data. It then presents applications in chemistry, neuroscience, cardio-respiratory physiology, climate, electrical engineering and social science. Taken together, the collection summarizes earlier work on coupling functions, reviews recent developments, presents the state of the art, and looks forward to guide the future evolution of the field.
机译:动力系统广泛存在,例如物理、化学、生物学、人口动力学、通信、气候学和社会科学。它们很少是孤立的,但通常会相互影响。这些相互作用可以通过耦合函数来表征,耦合函数包含有关相互作用的功能机制的详细信息,并规定了指定每个相互作用如何发生的物理规则。耦合函数不仅可以用来理解,还可以用来控制和预测相互作用的结果。本期主题汇集了顶尖科学家在耦合函数方面的开创性工作。在概述了该领域并描述了该理论的最新进展之后,本文讨论了从测量数据检测和重建耦合函数的新方法。然后介绍化学、神经科学、心肺生理学、气候、电气工程和社会科学的应用。综上所述,该系列总结了耦合函数的早期工作,回顾了最近的发展,介绍了最新技术,并期待着指导该领域的未来发展。

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