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ABSTRACT
The goal-oriented Simulation Environment Systems (SES) architecture “humanizes” the problem solving process by providing a more natural scheme of model construction and experimentation over traditional simulation languages. SES is a collection of integrated tools that allows users to focus on problem solving rather than on the peripheral activities of programming.
Interactive software plays a vital role in reducing the burden on the user in describing the various information types. It prompts for information regarding identification of controllable parameters, generation of the goal scenario, and definition of performance criteria. Efforts are made to supply the user with as much information as is currently defined in the model base when eliciting responses. Further, the SES model specification language is specifically designed to support a library of model parts. Such a library serves as a corporate memory of past simulation studies and contains information on component behaviors, transaction sequences, and analysis rules.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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