Abstract
In a typical scenario a human expert writes down a simulation model as a computer program. More demanding environments require that the computer itself will first ‘figure out’, or generate, the appropriate model. When the domain at hand is complicated, such a task may be non-trivial to program using conventional programing languages. Artificial intelligence techniques, and in particular expert systems, are of great assistance for achieving such goals which usually require deep on-hand experience and expertise of the domain at hand. A methodology for building such applications for the troubleshooting of processes is described through an actual example taken from the machining domain.
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© 1991 Springer-Verlag New York, Inc.
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Ben-David, A. (1991). Automatic Model Generation for Troubleshooting. In: Fishwick, P.A., Modjeski, R.B. (eds) Knowledge-Based Simulation. Advances in Simulation, vol 4. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3040-3_6
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DOI: https://doi.org/10.1007/978-1-4612-3040-3_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97374-6
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