Machine Knowledge and Human Cognition

被引：0

作者：

Fashen Li ^{[1
]}

Lian Li ^{[2
]}

Jianping Yin ^{[3
]}

Liang Huang ^{[4
]}

Qingguo Zhou ^{[5
]}

Ning An ^{[2
]}

Yong Zhang ^{[6
]}

Li Liu ^{[7
]}

Jialin Zhang ^{[8
]}

Kun Kuang ^{[9
]}

Lei Yang ^{[10
]}

Zhixi Wu ^{[4
]}

Lianchun Yu ^{[4
]}

机构：

[1] the Institute of Modern Physics, Chinese Academy of Sciences

[2] the School of Physical Science and Technology, Lanzhou University

[3] the School of Computer Science and Information Engineering, Hefei University of Technology

[4] the School of Cyber Science and Engineering, Dongguan University of Technology

[5] the Institute of Computational Physics and Complex Systems,Lanzhou University

[6] the School of Information Science and Engineering, Lanzhou University

[7] the Department of Physics, Xiamen University

[8] the School of Big Data & Software Engineering,Chongqing University

[9] the Institute of Computing Technology,Chinese Academy of Sciences

[10] the College of Computer Science and Technology, Zhejiang University

来源：

Big Data Mining and Analytics | 2020年 / 3卷 / 04期

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Intelligent machines are knowledge systems with unique knowledge structure and function. In this paper,we discuss issues including the characteristics and forms of machine knowledge, the relationship between knowledge and human cognition, and the approach to acquire machine knowledge. These issues are of great significance to the development of artificial intelligence.

引用

页码：292 / 299

页数：8

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