Collective Agents Interpolative Integral (CAII) Navy STTR FY2005 Sol No.: Navy STTR FY2005 Topic No.: N05-T019 Topic Title: Collective Agents Interpolative Integral (CAII) Proposal No.: N054-019-0260 Firm: 21st Century Systems, Incorporated 12152 Windsor Hall Way Herndon, Virginia 20170-2359 Contact: Roger Meisinger Phone: (402) 505-7894 Web Site: www.21csi.com Abstract: 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. Benefits: This SBIR will culminate in a sophisticated, multi-model data inference system through an implementation of the novel CAII approach. Specific benefits of the CAII and its components to be developed in this research include: (1) Considerably better presentation of integrated urban counter-terror operation picture and decision-level information, (2) Substantial functional integration that results in fewer required stove-piped processes for fusing diverse sets of information and supporting decisions, and (3) Notable enhancement of inference power of current information systems in dealing with hybrid data inputs and integrating inference results of multiple heterogeneous reasoning mechanisms. The expected result of this research will give our soldiers an advantage to the urban warfare challenges, preparing the asymmetric attacks by early detection of where the threats come from and how they will act especially in the earlier stages of an insurgency. Return