7. The method of claim 6 , wherein the method further comprises the steps of: utilizing a Bayesian network learning algorithm to analyze causes and effects of observed evidence using Bayesian Networks; and, creating real-time mathematical models to predict actions.
7. The method of claim 6 , wherein the method further comprises the steps of: utilizing a Bayesian network learning algorithm to analyze causes and effects of observed evidence using Bayesian Networks; and, creating real-time mathematical models to predict actions. 8. The method of claim 7 , wherein the method further comprises the steps of: creating Bayesian Network frames; combining frames to explain relationships between entities and events; determining, using an MCMCDA algorithm, likely social network structures; approximating joint probabilistic data associations; and, providing a fully polynomial randomized approximation scheme.