因果观念发展的大数据相关关系观照

The Development of Causal Concept from Big Data Correlation Point of View

随着人类认识的深化和实践活动层次的提升,人类因果观念经历了两次重要转换,形成了三种基本的因果观:实在论因果观、描述论因果观和模型论因果观。从实在论因果观到描述论因果观,肇因于从经典物理学到量子力学的发展;从描述论因果观到模型论因果观,则源自信息科技特别是大数据的发展。在三种因果观念中,实在论因果观是关于对象确定性联系的把握,描述论的因果观是将实在论因果观抽象为描述的产物,而模型论因果观则是描述论因果观发展到完全抽离具体经验条件的结果。纵观人类认识发展过程中因果观的嬗变,可以进一步看到,因果观念的两大重要转换都与信息的彰显密切相关。在量子力学中,信息便得以空前凸显,微观观测中生成的量子现象正是作为感受性关系的信息;而大数据则本身就是信息数字编码的产物,正是大数据相关关系,将因果观念从主要基于物能发展到主要基于信息。

With the deepening of human cognition and the upgrading of practical activities, the development of causal concept has undergone two important transformations and formed three basic views of causality:realistic,descriptive and modeling. The first transformation arose from the development from classical physics to quantum mechanics;the second originated from the development of information technology,especially big data. Among the three causal concepts,the realistic causal concept is the result of grasping certainty relation among objects,the descriptive causal concept is the product of abstracting realistic causal concept into description and the modeling causal concept is the result of the development of the descriptive causal concept,which is completely divorced from the specific empirical conditions. From the evolution of the causal concept in the process of human cognitive development,we can further see that, in fact, the two important transformations of the causal concepts are closely related to the manifestation of information. In quantum mechanics,information is highlighted unprecedentedly,and the quantum phenomena generated in microscopic observation are the information as the receptive relationship;Big data itself is the product of digital coding of information,and it is the big data correlation that develops the causal views from being mainly based on material energy to being mainly based on information.