Cognitive skills in modeling and simulation

Abstract

Major advances in simulation techniques have resulted from refinements to our understanding of the modeling and analysis processes. Previous work has provided the framework for advances in the three major support technologies of (1) algorithms, (2) data structures, and (3) statistical methods. The emergence of theories in knowledge acquisition and reasoning from the domain of Artificial Intelligence (AI) provide new methods for study of the cognitive processes of the customer and the simulation analyst within a decision scenario framework. The availability of software and hardware tools for implementing these theories provide a promising mechanism for the construction of advanced modeling systems based on the results of relevant models and theories related to the cognitive process. This research establishes a base from which an intelligent, model based, systems simulation environment can be constructed. The ultimate goal of such a system is to partially or totally replace the existing human systems simulation analyst. This dissertation will address the underlying theories and strategies of how those cognitive processes can be represented and supported in a knowledge based environment.