Big Data Mining and Analytics (Dec 2020)
Machine Knowledge and Human Cognition
- Fashen Li,
- Lian Li,
- Jianping Yin,
- Liang Huang,
- Qingguo Zhou,
- Ning An,
- Yong Zhang,
- Li Liu,
- Jialin Zhang,
- Kun Kuang,
- Lei Yang,
- Zhixi Wu,
- Lianchun Yu
Affiliations
- Fashen Li
- <institution>School of Physical Science and Technology, Lanzhou University</institution>, <city>Lanzhou</city> <postal-code>730000</postal-code>, <country>China</country>
- Lian Li
- <institution>School of Computer Science and Information Engineering, Hefei University of Technology</institution>, <city>Hefei</city> <postal-code>230009</postal-code>, <country>China</country>
- Jianping Yin
- <institution>School of Cyber Science and Engineering, Dongguan University of Technology</institution>, <city>Dongguan</city> <postal-code>523808</postal-code>, <country>China</country>
- Liang Huang
- <institution>Institute of Computational Physics and Complex Systems, Lanzhou University</institution>, <city>Lanzhou</city> <postal-code>730000</postal-code>, <country>China</country>
- Qingguo Zhou
- <institution>School of Information Science and Engineering, Lanzhou University</institution>, <city>Lanzhou</city> <postal-code>730000</postal-code>, <country>China</country>
- Ning An
- <institution>School of Computer Science and Information Engineering, Hefei University of Technology</institution>, <city>Hefei</city> <postal-code>230601</postal-code>, <country>China</country>
- Yong Zhang
- <institution content-type="dept">Department of Physics</institution>, <institution>Xiamen University</institution>, <city>Xiamen</city> <postal-code>361005</postal-code>, <country>China</country>
- Li Liu
- <institution>School of Big Data & Software Engineering, Chongqing University</institution>, <city>Chongqing</city> <postal-code>400044</postal-code>, <country>China</country>
- Jialin Zhang
- <institution>Institute of Computing Technology, Chinese Academy of Sciences</institution>, <city>Beijing</city> <postal-code>100190</postal-code>, <country>China</country>
- Kun Kuang
- <institution>College of Computer Science and Technology, Zhejiang University</institution>, <city>Hangzhou</city> <postal-code>310000</postal-code>, <country>China</country>
- Lei Yang
- <institution>Institute of Modern Physics, Chinese Academy of Sciences</institution>, <city>Lanzhou</city> <postal-code>730000</postal-code>, <country>China</country>
- Zhixi Wu
- <institution>Institute of Computational Physics and Complex Systems, Lanzhou University</institution>, <city>Lanzhou</city> <postal-code>730000</postal-code>, <country>China</country>
- Lianchun Yu
- <institution>Institute of Computational Physics and Complex Systems, Lanzhou University</institution>, <city>Lanzhou</city> <postal-code>730000</postal-code>, <country>China</country>
- DOI
- https://doi.org/10.26599/BDMA.2020.9020009
- Journal volume & issue
-
Vol. 3,
no. 4
pp. 292 – 299
Abstract
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.
Keywords
- intelligent machine
- machine knowledge
- human cognition
- knowledge interpretation
- principle of functional similarity
- probable approximative correction (pac) model
