Abstract
Conventional artificial intelligence techniques such as expert systems have often been found to be too brittle for large-scale applications. Model-based reasoning is a technique for making artificial intelligence software applicable to problems of realistic size.
In this working group, we have investigated some fundamental issues in model-based reasoning and various applications in diagnosis, control and design. This paper reports on the work at the Artificial Intelligence Laboratory, EPFL and the Chair for Computer-aided Architectural Design, ETHZ on applying model-based reasoning to design problems. The results concerning basic techniques and diagnosis applications are reported in another paper in this issue, pp. 59–64.
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