A cognition based automatic knowledge acquisition mechanism for expert systems

被引：0
|
作者：
Yang B. [1 ]
Tang Z. [1 ,2 ]
Yang J. [1 ]
机构：
[1] School of Information Engineering, University of Science and Technology Beijing
[2] School of Math and Physics, Nanhua University
来源：
Gaojishu Tongxin/Chinese High Technology Letters | 2010年 / 20卷 / 05期
关键词：
Automatic knowledge acquisition; Double-base cooperating mechanism; Double-basis fusion mechanism; Expert system; Knowledge discovery;
D O I：
10.3772/j.issn.1002-0470.2010.05.009
中图分类号：
学科分类号：
摘要：
The research was carried out to solve the bottleneck problem of automatic acquisition of knowledge in expert systems. Starting from the potential law (mechanism) of an expert system itself, the study tried to change the inherent knowledge discovery process, form the new knowledge discovery process model, and build a cognition-based automatic knowledge acquisition mechanism. Simultaneously, by using the T-coordinator, it automatically started the directed excavation of knowledge, according to the knowledge shortages of the basic knowledge, to effectively overcome the limitations that could become the new knowledge and minimize the workload of evaluation, thus forming a mechanism for automatic acquisition of knowledge. This mechanism can solve, to a great extent, the bottleneck problem of automatic acquisition of knowledge in intelligent systems.
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收藏
页码：493 / 498
页数：5
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