THE APPLICATION OF DEEP MODELS IN INDUSTRIAL EXPERT SYSTEMS

被引：2
|
作者：
CARDENOSA, J
ALONSO, F
CASTELLANOS, J
GARCIA, J
机构：
[1] Politechnic University of Madrid, Madrid
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 1991年 / 2卷 / 2-3期
关键词：
D O I：
10.1016/0957-4174(91)90115-U
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article differentiates between the four main knowledge levels of a human expert: namely, structural, conceptual, heuristic, and epistemological knowledge. The conceptual relationships between these various types of knowledge are constituent elements of the deep knowledge encountered in industrial systems. We present advice as to how to recognize such deep knowledge in order to produce a better quality knowledge base. Finally, a prototype developed in a industrial area is describe, in which the components that affirm the existence of deep knowledge are identified, detailing the concepts mentioned above. © 1991.
引用
收藏
页码：187 / 194
页数：8
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