Dynamic Visualization of Battle Simulations TITLE2
Paul R. Cohen, Jerryl Davis, John L. Warwick · 2000
We present a case study of visualization in understanding encouters between multiple agents in an adversarial environment. The information visualized consists of time series of attributes and relations such as mass, velocity and distance, which we preprocess with a Bayesian clustering algorithm. We differentiate betwwen the encounters based on their outcomes, and generate two and three-dimensional {\it maps} that can be used to determine good courses of action from different points in the agents'' environments.