可证伪性
机械生物学
预测能力
先验与后验
计算模型
计算机科学
功率(物理)
数据科学
认识论
人工智能
生物
物理
哲学
遗传学
量子力学
作者
Hanifeh Khayyeri,Hanna Isaksson,Patrick J. Prendergast
标识
DOI:10.1080/10255842.2013.774381
摘要
Do computational models contribute to progress in mechanobiology? Jacobs and Kelly (in Advances on Modelling in Tissue Engineering, p. 1–14, 2011) suggest that they do, but at the same time propose a limitation in the form of the ‘paradox of validation’, whereby the information needed to validate mechanoregulation theories obviates the need for them in the first place. In this article, the corroboration of theories describing mechanoregulation of tissue differentiation is reviewed. Considering the falsifiability of computational models derived using the theories as a measure of their predictive power, it is shown that the predictive power of some theories is poor and that models based on these theories fall into the ‘paradox of validation’. Week theories for any phenomenon would succumb to such a paradox. We argue that mechanobiology needs theories that can have more potentially falsifying experiments and that perhaps the discipline does suffer from theories that are a priori designed to minimise falsifiability. However, several theories do have predictive power beyond the data used to validate them, so a paradox of validation should disappear as the subject develops.
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