A knowledge-based simulation environment for hierarchical flexible manufacturing

被引:34
|
作者
Zeigler, BP
Cho, TH
Rozenblit, JW
机构
[1] AI Simulation Group, Department of Electrical and Computer Engineering, University of Arizona, Tucson
关键词
D O I
10.1109/3468.477862
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents an approach to embedding expert systems within an object oriented simulation environment. The basic idea is to create classes of expert system models that can be interfaced with other model classes. An expert system shell is developed within a knowledge-based design and simulation environment which combines artificial intelligence and systems modeling concepts. In the given framework, interruptible and distributed expert systems can be defined as components of simulations models. This facilitates simulation modeling of knowledge-based controls for flexible manufacturing and many other autonomous intelligent systems. Moreover, the structure of a system can be specified using a recursive system entity structure (SES) and unfolded to generate a family of hierarchical structures using an extension of SES pruning called recursive pruning. This recursive generation of hierarchical structures is especially appropriate for design of multilevel flexible factories. The article illustrates the utility of the proposed framework within the flexible manufacturing context.
引用
收藏
页码:81 / 90
页数:10
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