Cognitive Congruence in Intelligent Simulation Training

摘要

The feasibility of generating cause and effect explanations in text and graphicsis explored for simulation training systems based on device models. Practical and fundamental problems in generating such explanations are explored. Approaches to such explanations based on modeled effects are described. Explanation capabilities include demonstrating the consequences of actions, graphically portraying object architecture and attribute architecture, presenting the initiating condition for an effect, and presenting a theory of operation. Techniques for automatically representing a system at a level of complexity appropriate for an individual learner are described.