Generative constraint-based configuration of large technical systems

被引:48
作者
Stumptner, M
Friedrich, GE
Haselbock, A
机构
[1] Vienna Tech Univ, Inst Informat Syst, A-1040 Vienna, Austria
[2] Univ Klagenfurt, Inst Informat Technol, A-9020 Klagenfurt, Austria
[3] Siemens AG Osterreich, PSE EZE, A-1030 Vienna, Austria
来源
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | 1998年 / 12卷 / 04期
关键词
D O I
10.1017/S0890060498124046
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes the technical principles and representation behind the constraint-based, automated configurator COCOS. Traditionally, representation methods for technical configuration have focused either on reasoning about structure of systems or quantity of components, which is not satisfactory in many target areas that need both. Starting from general requirements on configuration systems, we have developed an extension of the standard CSP model. The constraint-based approach allows a simple system architecture, and a declarative description of the different types of configuration knowledge. Knowledge bases are described in terms of a component-centered knowledge base written in an object-oriented representation language with semantics directly based an the underlying constraint model. The approach combines a simple, declarative representation with the ability to configure large-scale systems and is in use for actual production applications.
引用
收藏
页码:307 / 320
页数:14
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