Intelligent Agent Technologies for Homeland Defense

This effort proposes a solution for Intelligent Homeland Defense Software Agents (IHDSA) that will autonomously retrieve, filter, fuse, and make predictions using relevant Homeland Defense data. The suite of intelligent software processes will gather data from distributed heterogeneous networks, extract relationships between the data, display and forward the relevant product, and then execute predictive analysis to extrapolate the relationships among data and environments to formulate situation and threat assessments. Intelligent software retrieval processes (`agents`) will retrieve relevant data from heterogeneous sources and translate it into a common email-like format. The retrieval `agent` will subscribe or poll the external network of systems for relevant information, filter the results, and then apply further processing and routing to them. The software `agents` will incorporate necessary processes to access, retrieve, and deliver data from each network. The accumulated data may then be processed in a machine-to-machine (M2M) interface without having to await manual screening and association. Returned data will be displayed in an intuitive interface depicting the current operational environment and its associations with the incoming data. A software model for predictive analysis will explore the relationships between events, topics, individuals, locations and time to express a situation or threat assessment.