基于决策树的智能虚拟人学习方法研究  

The research of intelligent virtual human learning based on decision tree

作　　者：程朋亮[1] 张桦[1] 史晶晶[1] 

机构地区：[1]天津理工大学计算机科学与技术学院,天津300191

出　　处：《天津理工大学学报》2006年第5期34-36,共3页Journal of Tianjin University of Technology

基　　金：天津高校科技发展基金2004BA09

摘　　要：学习是人类具有的一种重要智能行为,如何使虚拟人具有自动获取知识能力是智能虚拟人中一个重要的研究领域,一直受到人工智能和认知心理学家们的普遍关注.决策树(dec ision tree)是一种描述概念空间的有效办法,基于决策树的学习方法可以进行许多概念学习,具有简单快捷的优势.本文把决策树方法应用到智能虚拟人的学习中,使虚拟人具有智能化行为,从而达到使虚拟人自主学习的目的.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.

关 键 词：人工智能 认知心理学 决策树 智能虚拟人 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]