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When physics is not 'just physics': Complexity science invites new measurement frames for exploring the physics of cognitive and biological development

机译:当物理学不是“正义物理学”时:复杂性科学为探索认知和生物发展的物理学提供了新的测量框架

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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.
机译:神经生物学科学一直在努力解决生物和认知现象的物理基础,怀疑生物和认知系统能够在其自身以及通过其上下文来展现和促进结构,与纯粹的物理系统根本不同或具有自主性。复杂性科学提供了基于物理学的新方法来解释生物学和认知现象。为了回应有关复杂性科学是否试图“解释”生物学和认知为“正义物理学”的争论,我们提出,复杂性科学可以将物理学中的最新进展应用于生物学和认知中的现象,而不会降低或破坏完整性。要解释的现象。我们强调,就像神经生物学一样,物理学是一个不断发展的领域,还原的威胁被夸大了。我们提出生物学和认知系统与物理系统之间的区别是理论上的,因此是可选的。我们回顾自己的工作,运用后古典物理学中关于湍流和分形波动的见解来解决发展认知结构的问题。我们远没有希望将生物学和认知简化为“仅是”物理学,而是提出了我们的观点,即复杂性科学为考虑生物学和认知现象的物理基础提供了新的解释框架。

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