Cognitive models with accurate representation of human sensory and motor action behavior for simulating command environments

摘要

There are a variety of problems occurring over the life cycle of an Integrated Command Environment (ICE) that can be addressed with a common approach, i.e. cognitive modeling. Cognitive models are a special type of intelligent agent constructed not only to behave in an intelligent fashion, but also to simulate human behavior. Wehn simulating human behavior, a wide range of simulation realism is possible. A good balance between realism vs. minimum modeling effort and the most efficient CPU time usage should be sought when developing models for a particular purpose and domain. Thus, the level of perceptual and motor detail represented in a cognitive model should be scaled based on the ICE activity being supported. THis paper discusses the level of realism needed at different stages in the life cycle of an ICE, and presents improvements to the existing COGNET cognitive modeling framework that support ICE modeling.