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生物学与物理学相遇:形态发生的还原论与多尺度建模

Biology meets physics: Reductionism and multi-scale modeling of morphogenesis.

作者信息

Green Sara, Batterman Robert

机构信息

Department of Science Education, University of Copenhagen, Øster Voldgade 3, 1350 Copenhagen, Denmark.

Department of Philosophy, University of Pittsburgh, 1028-A Cathedral of Learning, Pittsburgh, PA 15260, USA.

出版信息

Stud Hist Philos Biol Biomed Sci. 2017 Feb;61:20-34. doi: 10.1016/j.shpsc.2016.12.003. Epub 2016 Dec 23.

Abstract

A common reductionist assumption is that macro-scale behaviors can be described "bottom-up" if only sufficient details about lower-scale processes are available. The view that an "ideal" or "fundamental" physics would be sufficient to explain all macro-scale phenomena has been met with criticism from philosophers of biology. Specifically, scholars have pointed to the impossibility of deducing biological explanations from physical ones, and to the irreducible nature of distinctively biological processes such as gene regulation and evolution. This paper takes a step back in asking whether bottom-up modeling is feasible even when modeling simple physical systems across scales. By comparing examples of multi-scale modeling in physics and biology, we argue that the "tyranny of scales" problem presents a challenge to reductive explanations in both physics and biology. The problem refers to the scale-dependency of physical and biological behaviors that forces researchers to combine different models relying on different scale-specific mathematical strategies and boundary conditions. Analyzing the ways in which different models are combined in multi-scale modeling also has implications for the relation between physics and biology. Contrary to the assumption that physical science approaches provide reductive explanations in biology, we exemplify how inputs from physics often reveal the importance of macro-scale models and explanations. We illustrate this through an examination of the role of biomechanical modeling in developmental biology. In such contexts, the relation between models at different scales and from different disciplines is neither reductive nor completely autonomous, but interdependent.

摘要

一种常见的还原论假设是,只要能获得关于较低尺度过程的足够细节,宏观尺度的行为就可以“自下而上”地进行描述。认为“理想”或“基础”物理学足以解释所有宏观尺度现象的观点,遭到了生物学哲学家的批评。具体而言,学者们指出了从物理学解释中推导生物学解释的不可能性,以及基因调控和进化等独特生物学过程的不可还原性质。本文退一步探讨,即使是对跨尺度的简单物理系统进行建模,自下而上的建模是否可行。通过比较物理学和生物学中的多尺度建模实例,我们认为“尺度暴政”问题对物理学和生物学中的还原论解释都构成了挑战。该问题指的是物理和生物行为对尺度的依赖性,这迫使研究人员结合依赖于不同尺度特定数学策略和边界条件的不同模型。分析不同模型在多尺度建模中结合的方式,也对物理学和生物学之间的关系有影响。与物理科学方法能为生物学提供还原论解释的假设相反,我们举例说明物理学的输入如何常常揭示宏观尺度模型和解释的重要性。我们通过考察生物力学建模在发育生物学中的作用来说明这一点。在这种情况下,不同尺度和不同学科的模型之间的关系既不是还原论的,也不是完全自主的,而是相互依存的。

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