节点文献
如何解读机器知识
How to Interpret Machine Knowledge
【作者】
李发伸;
李廉;
殷建平;
张勇;
周庆国;
况琨;
【Author】
Fashen Li;Lian Li;Jianping Yin;Yong Zhang;Qingguo Zhou;Kun Kuang;Department of Physics,Lanzhou University;Department of Computer Science,Hefei University of Technology;Department of Computer Science,Dongguan University of Technology;Department of Physics,Xiamen University;Department of Computer Science,Lanzhou University;College of Computer Science and Technology,Zhejiang University;
【机构】
Department of Physics,Lanzhou University;
Department of Computer Science,HeFei University of Technology;
Department of Computer Science,Dongguan University of Technology;
Department of Physics,Xiamen University;
Department of Computer Science,Lanzhou University;
College of Computer Science and Technology,Zhejiang University;
【摘要】 <正>机器知识指的是人工智能所蕴含的知识。本文讨论了如何获取机器知识,特别是获取机器知识中的因果知识,而后者是解读机器知识的过程。通过对物理学和人工智能领域的一些研究方法进行分析,我们提出了解读机器知识的一些原则和模式,同时对一些具体方法,如解读过程自动化和局部线性化进行了讨论。更多还原
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【文献出处】
Engineering
,工程(英文)
,
编辑部邮箱
,2020年03期
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