DocumentCode
2864331
Title
Machine Cognition and Learning Based on Interactive Symbolic Computation
Author
Chen, Guangxi ; Zeng, Zhenbing ; Bi, Zhongqin
Author_Institution
Guilin Univ. of Electron. Technol., Guilin
fYear
2007
fDate
11-13 Oct. 2007
Firstpage
456
Lastpage
461
Abstract
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.
Keywords
interactive systems; learning (artificial intelligence); pattern recognition; symbol manipulation; human-machine dialogue; interactive symbolic computation; machine cognition; machine learning; mathematics educational software; mathematics expression transformation; pattern recognition; Cognition; Computational geometry; Educational technology; Hydrogen; Kernel; Learning systems; Machine learning; Mathematics; Pervasive computing; Software engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Pervasive Computing, 2007. IPC. The 2007 International Conference on
Conference_Location
Jeju City
Print_ISBN
978-0-7695-3006-2
Type
conf
DOI
10.1109/IPC.2007.38
Filename
4438475
Link To Document