The assembly and use of complex simulation models within a complete simulation environment remains a challenge to simulation developers and users. Many simulation models have complex interfaces and operational requirements that overwhelm all but the most expert of users. In many instances, the use of these models is often limited to their original developers. Meeting the challenge posed by increasing model complexity requires the incorporation of `meta knowledge' about the models and how they can be assembled into working systems. This requires an expert system that captures operational knowledge from the model domain experts and makes it available to simulation users. A simulation framework based on a consistent paradigm can provide information about models (parameters and attributes) that can be input to the expert system. This information can in turn activate rules within the knowledge base. The effect of rule `firings' would be to notify the user of potential problems or errors in the simulation and provide corrective guidance. This paper describes the development of a prototype Expert Assistant for Simulation Assembly and Experimentation, EASAE (pronounced `easy') that addresses this problem.
Brett N. Gossage, Brett N. Gossage,
"Expert assistant for simulation assembly and experimentation (EASAE)", Proc. SPIE 3696, Enabling Technology for Simulation Science III, (22 June 1999); doi: 10.1117/12.351185; https://doi.org/10.1117/12.351185