大数据的认识论问题分析  

An Epistemological Analysis of Big Data

作　　者：兰立山 潘平[2] LAN Li-shan;PAN Ping(School of Philosophy, Renmin University of China, Beijing 100872, China;School of Computer Science and Technology, Guizhou University, Guiyang 550025, Guizhou, China)

机构地区：[1]中国人民大学哲学院,北京100872 [2]贵州大学计算机科学与技术学院,贵州贵阳550025

出　　处：《黔南民族师范学院学报》2018年第2期112-116,共5页Journal of Qiannan Normal University for Nationalities

基　　金：国家社会科学基金资助项目"量子博弈的认识论与方法论"(13BZX020)阶段性成果

摘　　要：大数据技术具有一套独特的认识论体系,它以数据为其认识基点,是经验主义与理性主义认识基点的互补;以相关性为主要认识内容,是对因果性认识论的补充与完善;强调对非确定性结果的容忍,是对确定性认知的深化与发展。然而,从工具理性、价值理性的视角来看,大数据技术理性还存在诸多问题,大数据技术理性的实现需依靠大数据技术的进一步发展和相关法律法规的进一步完善。Big data technology has a unique epistemology system. It combines the empiricism with rationalism by the cognizable basis of data; it replenishes and perfectes the causal cognition by the cognizable logic of correlation; it develops the certain cognition by emphasizing the result of uncertainty.However,there are still many problems in big data technology rationality through the angle of instrumental rationality and value rationality. The improvement of big data technology rationality needs a deeper development of big data technology and the relevant laws and regulations.

关 键 词：大数据 认识论 理性 

分 类 号：N031[自然科学总论—科学技术哲学]