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Generative constraint-based configuration of large technical systems

Published online by Cambridge University Press:  01 September 1998

MARKUS STUMPTNER ,
GERHARD E. FRIEDRICH  and
ALOIS HASELBÖCK
MARKUS STUMPTNER
Affiliation:
Technische Universität Wien, Institut für Informationssysteme, Paniglgasse 16, A-1040 Wien, Austria
GERHARD E. FRIEDRICH
Affiliation:
Universität Klagenfurt, Institut für Informationstechnologie, Universitätsstraße 65-67, A-9020 Klagenfurt, Austria
ALOIS HASELBÖCK
Affiliation:
Siemens AG Österreich, PSE EZE, Erdberger Lände 26, A-1030 Wien, Austria
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Abstract

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 on 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.

Keywords

ConfigurationGenerative Constraint Satisfaction
Type
ARTICLES
Information
AI EDAM , Volume 12 , Issue 4 , September 1998 , pp. 307 - 320
Copyright
© 1998 Cambridge University Press

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