Refinements of the command and control game component

Prediction of future courses of events is a necessary ingredient in tomorrow\´s command and control centers. This is being identified in higher levels of, e.g., the JDL model where awareness of the development of a situation is crucial for providing a complete and comprehensible situation picture. To cope with gaming situations, i.e., situations where commanders make decisions based on other commanders\´ reasoning about one\´s own reasoning, traditional AI methods for inference need to be extended with algorithms stemming from game theory. In this article, we formalize the ideas of an information fusion "game component". Also, we review current state of the art when it comes to computational game theory and discuss the time constraints from an information fusion perspective along with a discussion regarding the solution/equilibrium selection problem. Furthermore, results from computer simulations and analysis of computational bottlenecks are presented.