Cognitive Congruence in Intelligent Simulation Training
Abstract
The feasibility of generating cause and effect explanations in text and graphics is 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1990
- Accession Number
- ADA231347
Entities
People
- Douglas M. Towne
Organizations
- University of Southern California