A Belief Framework for Modeling Cognitive Agents
Annerieke Heuvelink, R.L. Lewis, T. A. Polk, J.E. Laird · TNO Repository · 2007
Simulation-based training in complex decision-making can be made more effective by using intelligent software agents to play key roles. For successful use in training, these agents should show representative behavior. Representative behavior may reflect expert behavior, but may also be far from optimal, especially under stress conditions. Current agent architectures hardly offer support to model cognitive properties that are essential to human decision-making. The present paper describes a framework in which agents beliefs are extended with additional arguments with which such dynamic cognitive properties can be formalized. An historic military event is used to demonstrate that the resulting framework is capable of modeling representative behavior.