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基于决策树的智能虚拟人学习方法研究
引用本文:程朋亮,张桦,史晶晶. 基于决策树的智能虚拟人学习方法研究[J]. 天津理工大学学报, 2006, 22(5): 34-36
作者姓名:程朋亮  张桦  史晶晶
作者单位:天津理工大学,计算机科学与技术学院,天津,300191
摘    要:决策树学习是以实例为基础的归纳学习[1].该类方法从一类无序,无规则的事物(概念)中推理出决策树表示的分类规则.该方法的起源最早来源于Hunt,Marin和Stone于1966年研制的CLS(ConceptLearning System概念学习系统).1979年,J.R.Quin-lan给出了ID3(Interative D icrem iser Versi

关 键 词:人工智能  认知心理学  决策树  智能虚拟人
文章编号:1673-095X(2006)05-0034-03
收稿时间:2006-03-15
修稿时间:2006-03-15

The research of intelligent virtual human learning based on decision tree
CHENG Peng-liang,ZHANG Hua,SHI Jing-jing. The research of intelligent virtual human learning based on decision tree[J]. Journal of Tianjin University of Technology, 2006, 22(5): 34-36
Authors:CHENG Peng-liang  ZHANG Hua  SHI Jing-jing
Affiliation:School of Computer Science and Technology, Tianjin University of Technology, Tianjin 300191, China
Abstract:Learning is an important action of people, how to make the virtual human have the power of automaticly obtaining knowledge is an important research field. The artificial intelligence and cognizing psychologist both pay attention to it. Decision tree is a valid method to describe the concept definition, and the method based on decision tree can study many concepts and this has the advantage of simpleness and shortcut. This paper takes the decision tree method into the study of the intelligent virtual human, and makes it have intelligent action, and makes the human study by himself.
Keywords:artificial intelligence   cognizing psychologist   decision tree   the intelligent virtual human
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