Current research directions in the development of expert systems based on belief networks
Current research directions in the development of expert systems based on belief networks
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基于信念网络的专家系统开发的当前研究方向
DOI：
10.1002/asm.3150050106
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发表时间：
1989
期刊：
影响因子：
--
通讯作者：
G. Cooper
中科院分区：
文献类型：
--
作者：
G. Cooper
专家系统是一种计算机程序，其设计用于解决与给定领域的人类专家相当的问题。专家系统通常需要不确定性的表示。本文重点介绍了专家系统中的不确定性表示的历史上的一些关键发展。然后介绍了一种称为信度网络的不确定性表示方法，并讨论了其在专家系统中的应用。本文最后讨论了当前的信念网络研究方向。
An expert system is a computer program that is designed to solve problems at a level comparable to that of a human expert in a given domain. Often expert systems require a representation of uncertainty. This paper highlights some of the key developments in the history of representing uncertainty in expert systems. An uncertainty representation called belief networks is then introduced and its use in expert systems is motivated. The paper concludes with a discussion of current directions in belief network research.