复杂系统问题单变量解决方案的谬误
The Fallacy of Univariate Solutions to Complex Systems Problems.
作者信息
Lessov-Schlaggar Christina N, Rubin Joshua B, Schlaggar Bradley L
机构信息
Department of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Department of Neurology, Washington University School of MedicineSt. Louis, MO, USA; Department of Pediatrics, Washington University School of MedicineSt. Louis, MO, USA.
出版信息
Front Neurosci. 2016 Jun 8;10:267. doi: 10.3389/fnins.2016.00267. eCollection 2016.
Complex biological systems, by definition, are composed of multiple components that interact non-linearly. The human brain constitutes, arguably, the most complex biological system known. Yet most investigation of the brain and its function is carried out using assumptions appropriate for simple systems-univariate design and linear statistical approaches. This heuristic must change before we can hope to discover and test interventions to improve the lives of individuals with complex disorders of brain development and function. Indeed, a movement away from simplistic models of biological systems will benefit essentially all domains of biology and medicine. The present brief essay lays the foundation for this argument.
根据定义，复杂生物系统由多个非线性相互作用的组件组成。可以说，人类大脑是已知最复杂的生物系统。然而，对大脑及其功能的大多数研究都是基于适用于简单系统的假设——单变量设计和线性统计方法进行的。在我们有望发现并测试改善大脑发育和功能复杂障碍个体生活的干预措施之前，这种启发式方法必须改变。事实上，摒弃生物系统的简单化模型将从根本上惠及生物学和医学的所有领域。本文为这一论点奠定了基础。
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