Working group in model-based design and reasoning. Part I: modeling and diagnosis

Issue title: The Swiss priority programme in informatics research, module knowledge-based systems

Article type: Research Article

Authors: Faltings, Boi

Affiliations: Laboratoire d'Intelligence Artificielle, Swiss Federal Institute of Technology (EPFL), 1015 Lausanne, Switzerland. E-mail: [email protected]

Abstract: Classical 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 results in basic techniques as well as diagnosis applications obtained at EPFL, ETHZ, Landis & Gyr and Nestlé. The results of the part dealing with design are reported in another paper in this issue, pp. 65–73.

DOI: 10.3233/AIC-1996-9204

Journal: AI Communications, vol. 9, no. 2, pp. 59-64, 1996