Large scale models of cooperative and hostile intentions

Abstract

Large-scale computer models of intentions have the potential to play a significant role in the coordination of large, complex macro-systems. By representing the intentions of all participants in a unified, dynamic, real-time computer model, participants can detect conflicts between their activities and those of others. In a cooperating macro-system, participants can improve overall performance by adapting their activities to reduce conflict and enhance cooperation. In adversarial macrosystems, such as military combat, tracking the intentions of friendly and hostile forces can provide enhanced counter-planning and response execution. This paper provides a brief view of the current progress in constructing and testing large scale models of intent based on recent manned simulation experiments and demonstrations.