R&D

WARBREAKER Intelligence Correlator

IET supplied models and inferencing technology for a massively parallel implementation combining relational force and equipment data, digital geospatial data, doctrinal behavior and movement models, and a Markov-Bayes tracking engine to support prosecution of time critical targets. On this DARPA program, IET elicited knowledge from domain experts to structure and populate Bayesian networks that represent approximately 100K probabilities. Elements of WARBREAKER software containing IET technology were transitioned into the U.S. Army's All-Source Analysis System (ASAS) and became the first DARPA module to be successfully segmented in the DII COE in 1999.