Abstract
This paper presents a methodological essay on building expert systems based on simulation models. This type of expert system can be very useful because there is an important existing body of work on modelling applied to engineering problems, and the expert system structure may allow a synthesis of the knowledge of different models and expert criteria to be used on line and to be applied to daily operation in engineering problems.
The first part of the paper deals with a methodology of knowledge base construction:
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The first step of knowledge structuring based on a conceptual grid and an operation reasoning scheme
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The second step of automatic operation rule generation for two types of rule formulation (propositional and functional formulation)
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The final step of analysis by the experts of the rules proposed through the automatic process and choice of the most significant ones. The final knowledge base is made up of the definition rules from the conceptual grid and basic and generalized operation rules from the automatic learning process, complemented by rules introduced by the experts.
The second part of the paper deals with the application of these methods to the being developed specification of two expert systems now:
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Example 1: an expert system providing advice during river floods
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Example 2: an expert system for control and advice in urban freeway traffic
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© 1988 Springer-Verlag Berlin Heidelberg
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Cuena, J. (1988). Building Expert Systems Based on Simulation Models: An Essay in Methodology. In: Bolc, L., Coombs, M.J. (eds) Expert System Applications. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83314-4_5
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DOI: https://doi.org/10.1007/978-3-642-83314-4_5
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