Cloud-based tasking, collection, processing, exploitation, and dissemination

The current explosion in sensor data has brought us to a tipping point in the intelligence, surveillance, and reconnaissance technologies. This problem can be addressed through the insertion of novel artificial intelligence-based methodologies. The scope of the problem addressed in this position paper is to propose a novel computational intelligence methodology, which can learn to map distributed heterogeneous data to actionable meaning for dissemination. The impact of this approach is that it will provide a core solution to the tasking, collection, processing, exploitation, and dissemination (TCPED) problem. It will serve to demonstrate the viability of the methodologies core concepts and thus justify a scaled-up investment in its development. Consequently, the expected operational performance improvements include the capture and reuse of analyst expertise, an order of magnitude reduction in required bandwidth, and, for the user, prioritized intelligence based on the knowledge derived from distributed heterogeneous sensing.