Blackboard Pattern-Enabled Integrated Intelligent Toolset

To address the U.S. Army need for an automated toolset to identify and track significant persons and their organizations, Physical Optics Corporation (POC) proposes to develop a novel Blackboard pattern-enabled Integrated Intelligent Toolset (BIIT). BIIT is based on intelligent agents, a link analyzer, an entity association engine, an associative search engine, and Blackboard patterns, as well as our data fusion algorithms. BIIT will have unique capabilities for link and trend analysis for identification and detection of soft targets by means of HUMINT, COMINT, IMINT, and other intelligence data sources. The innovative use of unique intelligent agents, link analysis, associative search, and Blackboard patterns will enable BIIT to identify and track soft targets, and help commanders and analysts to quickly detect soft targets, and to disrupt and/or attack them. In Phase I POC will demonstrate BIIT feasibility by experiments, simulation, and performance assessment. In Phase II we will advance, code, and test the Phase I prototype, evaluate it through simulation and experiments, and validate the proof of concept toolset. We will mature the BIIT prototype software into commercial software and an automated toolset in Phase III and beyond.