A Knowledge-Based Adaptable Modeling and Simulation Visualization Environment

"Effective use of models and simulations (M&S) requires the visualization of model-related information at three stages-model construction, model manipulation, and model analysis. M&S applications do not always have a native visualization environment, buteven when they do, the environment rarely permits visualization at all three stages of M&S use. An adaptable visualization environment that could be tailored to function for specialized M&S applications would be a powerful tool to unify an organization'sanalysis and reporting efforts. Realizing this environment requires advanced data abstraction, a formalism for generating visual transforms based on context, general-purpose analysis aids, and a methodology for tailoring M&S input and output.This proposal explores the innovative use of knowledge-based technologies from artificial intelligence to represent M&S data in a domain-independent way. The knowledge-based approach permits users to view and navigate M&S data while treating the M&Sapplication as a "black box". Our visualization environment employs a relational algebra formalism to query the knowledge-base, a mathematical analysis toolbox for understanding causal connections, and data wizards to help analysts who are not knowledgeengineers tailor an M&S application to the environment. The technology developed under this program will immediately benefit organizations seeking to unify their M&S analysis and reporting efforts. Ex