Human/autonomy collaboration for the automated generation of intelligence products
Phil DiBona, Jason Schlachter, Ugur Kuter, Robert P. Goldman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
Intelligence Analysis remains a manual process despite trends toward autonomy in information processing. Analysts need agile decision-‐support tools that can adapt to the evolving information needs of the mission, allowing the analyst to pose novel analytic questions. Our research enables the analysts to only provide a constrained English specification of what the intelligence product should be. Using HTN planning, the autonomy discovers, decides, and generates a workflow of algorithms to create the intelligence product. Therefore, the analyst can quickly and naturally communicate to the autonomy what information product is needed, rather than how to create it.