Java Causal Analysis Tool is a Bayesian Network tool for managing uncertainty in causal models. Almost any study or plan contains causal assertions, and often these assertions are not known with certainty.
Java Causal Analysis Tool coherently manages large groups of such assertions, facilitating both predictions within a scenario and inference on observed data. It retains the theoretical soundness of Bayesian theory while avoiding many assumptions that can make the model either highly approximate or quite cumbersome.
Ultimately, it provides an effective modeling framework that is simple and understandable enough for any novice user. The project is directed by AFRL (Air Force Research Lab) in Rome
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