摘要
随着机器的崛起,尤其是在大数据、机器学习不断在科学认识中发挥重要作用的形势下,一种建构在以机器"经验"为基础之上的认识论呼之欲出,它本质上是一种非人类中心的认识论--部分取代人类的机器包括传感器、实验仪器、计算机、存储器、互联网等,在认识过程中发挥着不可替代的作用;因此探讨以机器为中心的认识论,可以帮助人类理解机器以及人工智能等的相关问题,同时也为人类参照机器来认识自身提供了一种有益的视角。
With the rise of machines,especially in the situation that big data and machine learning continue to play an important role in scientific cognition,a kind of epistemology based on " Experience" of the machine is to be vividly portrayed. It is essentially a non-anthropocentric,because some machines that replace human beings,including sensors,experimental instruments,computers,storage device,the Internet,etc.,play an irreplaceable role in the process of cognition and understanding. Therefore,exploring the machine-centered epistemology can help humans understand the related issues of machines and artificial intelligence. The related issues also provide a beneficial perspective for humans to understand themselves by referring to machines.
作者
董春雨
薛永红
DONG Chun-yu;XUE Yong-hong(College of Philosophy,BNU,Beijing 100875;College of Science,NCIST,Beijing 101601,China)
出处
《自然辩证法研究》
CSSCI
北大核心
2019年第8期3-10,共8页
Studies in Dialectics of Nature
基金
2018年度国家社会科学基金重点项目“大数据个性化知识的本体论意义与认识论价值研究”(18AZX008)
关键词
大数据
机器“经验”
非人类中心认识论
Big data
"Experience" of the machine
The epistemology of non-anthropocentrism
