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人工智能研究对思维学的方法论启示
引用本文:尹鑫,苏国辉.人工智能研究对思维学的方法论启示[J].广西师范大学学报(哲学社会科学版),2002,38(4):128-131.
作者姓名:尹鑫  苏国辉
作者单位:广西师范大学,政治与公共管理学院,广西,桂林,541001
摘    要:人工智能研究的发展历史,为思维学的研究在方法论方面提供了重要的启示。结构与功能是一个辩证统一的整体,把结构与功能结合起来的研究方法是思维学取得突破性进展的必由之路。质与量是事物规定性的两个方面,是事物运动变化两种最基本的形式,对思维进行定量与定性的综合研究,将会使思维学的发展有一个新的突破。形与数是矛盾的两个方面,在思维学的研究中,加强对思维的形的研究,不仅有利于思维学的突破,还将促进现代科学化的重大发展。

关 键 词:人工智能  思维学  方法论  结构与功能  质与量  形与数
文章编号:1001-6597(2002)04-0128-04
修稿时间:2002年1月15日

THE STUDY OF ARTIFICIAL INTELLIGENCE AND ITS IMPLICATION TO METHODOLOGY OF THINKING STUDY
YIN Xin,SU Guo hui.THE STUDY OF ARTIFICIAL INTELLIGENCE AND ITS IMPLICATION TO METHODOLOGY OF THINKING STUDY[J].Journal of Guangxi Normal University(Philosphy and Social Science Edition),2002,38(4):128-131.
Authors:YIN Xin  SU Guo hui
Abstract:The development of artificial intelligence study offers important implications to the methodology of thinking study. Structure and function forms a dialectical unity. The combination of the two is the only way for the rapid development of the thinking study. Quality and quantity, as the two inherent factors of matter, are the most basic mode of motion in matter. Qualitative and quantitative studies of thinking will make it possible for it to have a breakthrough. Form and number are the two opposing factors. The study of the form of thinking will help not only to have a breakthrough in thinking study, but also to speed up the development of modern science.
Keywords:artificial intelligence  thinking study  methodology  structure and function  quality and quantity  formand number
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