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BACKGROUND KNOWLEDGE AND SECONDARY KNOWLEDGE BASES IN LEARNINGS YSTEMS
作者姓名:王建东
作者单位:南京航空航天大学计算机科学与工程系
摘    要:讨论了背景知识和领域理论在学习过程中的作用,强调了学习系统中背景知识的重要性。文中介绍了一个以领域理论为主知识库、以背景知识为二级知识库的基于解释的学习系统,说明基于解释的学习系统如何利用背景知识克服不完全的领域理论带来的问题,使其能通过纯演绎的方法实现知识级的学习。最后,本文还简单讨论了学习系统中背景知识的获取方法。

关 键 词:人工智能  知识工程  机器学习  背景知识  领域理论

BACKGROUND KNOWLEDGE AND SECONDARY KNOWLEDGE BASES IN LEARNING SYSTEMS
Wang Jiandong,Zhu Wujia.BACKGROUND KNOWLEDGE AND SECONDARY KNOWLEDGE BASES IN LEARNINGS YSTEMS[J].Transactions of Nanjing University of Aeronautics & Astronautics,1997(1).
Authors:Wang Jiandong  Zhu Wujia
Institution:Wang Jiandong Zhu Wujia Department of Computer Science and Engineering,NUAA29 Yudao Street,Nanjing 210016,P. R. China
Abstract:This paper presents the differences and relations between background knowledge and domain theories in learning systems. The roles they play during learning procedures are discussed. It is emphasized that background knowledge plays an important role in enhancing the ability of a learning system. An explanation based learning system with domain theory in primary knowledge base and background knowledge in secondary knowledge base is introduced as an example. It shows how background knowledge can be used to solve some of the problems caused by incomplete domain theory in an explanation based learning system. The system can accomplish knowledge level learning through purely deductive approach. At last the acquisition of background knowledge is briefly discussed.
Keywords:artificial intelligence  knowledge engineering  machine learning  background knowledge  domain theory
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