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当物理学不再“只是物理学”:复杂性科学为探索认知与生物发展的物理学引入了新的测量框架。

When physics is not "just physics": complexity science invites new measurement frames for exploring the physics of cognitive and biological development.

作者信息

Kelty-Stephen Damian, Dixon James A

机构信息

Harvard University, Boston, MA, USA.

出版信息

Crit Rev Biomed Eng. 2012;40(6):471-83. doi: 10.1615/critrevbiomedeng.2013006693.

Abstract

The neurobiological sciences have struggled to resolve the physical foundations for biological and cognitive phenomena with a suspicion that biological and cognitive systems, capable of exhibiting and contributing to structure within themselves and through their contexts, are fundamentally distinct or autonomous from purely physical systems. Complexity science offers new physics-based approaches to explaining biological and cognitive phenomena. In response to controversy over whether complexity science might seek to "explain away" biology and cognition as "just physics," we propose that complexity science serves as an application of recent advances in physics to phenomena in biology and cognition without reducing or undermining the integrity of the phenomena to be explained. We highlight that physics is, like the neurobiological sciences, an evolving field and that the threat of reduction is overstated. We propose that distinctions between biological and cognitive systems from physical systems are pretheoretical and thus optional. We review our own work applying insights from post-classical physics regarding turbulence and fractal fluctuations to the problems of developing cognitive structure. Far from hoping to reduce biology and cognition to "nothing but" physics, we present our view that complexity science offers new explanatory frameworks for considering physical foundations of biological and cognitive phenomena.

摘要

神经生物学一直在努力解决生物和认知现象的物理基础问题,人们怀疑能够在自身内部并通过其环境展现和促成结构的生物和认知系统,在根本上与纯粹的物理系统不同或具有自主性。复杂性科学提供了基于新物理学的方法来解释生物和认知现象。针对关于复杂性科学是否可能试图将生物学和认知“解释为仅仅是物理学”的争议,我们提出复杂性科学是将物理学的最新进展应用于生物学和认知现象,而不会削弱或损害待解释现象的完整性。我们强调物理学与神经生物学一样,是一个不断发展的领域,而且还原论的威胁被夸大了。我们提出生物和认知系统与物理系统之间的区别是前理论性的,因此是可以选择的。我们回顾了我们自己的工作,即将后经典物理学中关于湍流和分形涨落的见解应用于发展认知结构的问题。我们远非希望将生物学和认知简化为“仅仅是”物理学,而是提出我们的观点,即复杂性科学为思考生物和认知现象的物理基础提供了新的解释框架。

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