Agent/Source Characterization for exploitation of human-generated intelligence

Agent/Source Characterization (A/SC) technology is being developed to improve the effective exploitation of human-generated data. This technology is being incorporated into a prototype system for assessing and predicting activity in threat-related social networks. Classical multi-source, multi-target calibration/registration / state estimation methods are applied to the joint characterization of human information sources and their reported target/ situation state estimates/ A Structural Equation Model framework is used to integrate a source agent´s measurement, inference, planning and control processes with ldquoourrdquo independent observations of agent, targets and situations. Human behavior models are embedded in this framework to characterize both human sources and human targets.