Abstract
This paper summarizes major aspects of supporting systems dynamics modelling and simulation by knowledge-based systems or expert systems, respectively. Combinations of numerical simulation and symbolic knowledge processing techniques have proved to be very useful for improving the adequate representation of system knowledge, the efficiency, flexibility and consistency of models and the support and advice of users in system modelling. Based on actual requirements concerning the synthesis and experimental application of symbolic models, basic architectures and features of knowledge-based modelling environments are discussed. Results of prototype implementations are presented supporting the hierarchical description of discrete systems and the model synthesis in the domain of computer systems.
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