University of Sussex, Evolutionary and Adaptive Systems Group.
Artif Life. 2019 Fall;25(4):334-351. doi: 10.1162/artl_a_00300. Epub 2019 Nov 7.
Life and cognition are inherently circular dynamical processes, and people have difficulty understanding circular causation. I give case studies illustrating some resulting confusions, and propose that the problems may lie in failing to properly distinguish between similar concepts used to describe both local and global features of a system. I analyze how explanations in terms of circular causation work and how they rely on principles of . Even though they typically will not explain the of phenomena (that is the province of linear causal explanation), circular explanations have predictive power for any (i.e., stable or metastable) phenomena.
生命和认知从本质上来说是循环动态的过程,而人们很难理解循环因果关系。我通过案例研究说明了由此产生的一些混淆,并提出这些问题可能源于未能正确区分用于描述系统局部和整体特征的相似概念。我分析了循环因果关系的解释如何发挥作用,以及它们如何依赖于 的原则。尽管它们通常不能解释现象的 (这是线性因果解释的范畴),但循环解释对于任何 (即稳定或亚稳定)现象都具有预测力。