Collective Agents Interpolative Integral (CAII)

In the realm of asymmetric threat detection, it is imperative to spot suspicious indicators in the ever-growing volume, variety, and complexity of data. It is recognized that quick detection of threats at the planning, attempting, and line formation stages is key and intelligence is crucial to defeating an insurgency. While many activities/events seem legitimate in isolated view, they are not when combined. 21st Century Systems, Inc., in conjunction with the University of Nebraska at Omaha, is pleased to propose to research a systems engineering approach to attack the problems of level 2 and 3 data fusion. Our system concept and methodology is called Collective Agents Interpolative Integral (CAII). The CAII system will perform a synergistic integration of different inference processes on data from different intelligence (SIGINT, HUMINT, IMINT, etc.) and sensor resources, to provide warfighters with a real time asymmetric threat detection capability. The approach enables "connecting the dots" by representing both data and patterns as tagged entities in a multi-model inference space. The CAII functional components developed in this research can act to assist human analysts in understanding what is going on in situations again terror attacks and insurgency in urban environments.