Machine cognition and learning based on interactive symbolic computation

被引：0
|
作者：
Chen, Guangxi [1 ]
Zeng, Zhenbing [2 ]
Bi, Zhongqin [2 ]
机构：
[1] Guilin Univ Elect Technol, Dept Math & Comp Sci, Guilin 541004, Guangxi, Peoples R China
[2] East China Normal Univ, Inst Software Engn, Shanghai 200062, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON INTELLIGENT PERVASIVE COMPUTING, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/IPC.2007.38
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we discuss the necessity and implementation technique of machine cognition and learning of mathematics expression transformation in the educational software. We give two pattern-recognition algorithms for machine learning of expression transformation, and propose a human-machine dialogue method for machine learning of higher-level knowledge. The prototype implementation shows that the new technologies have great application in designing mathematics educational software.
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页码：456 / +
页数：2
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