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.
Phil DiBona, Jason Schlachter, Ugur Kuter, and Robert Goldman, "Human/autonomy collaboration for the automated generation of intelligence products," Proc. SPIE 10207, Next-Generation Analyst V, 1020709 (Presented at SPIE Defense + Security: April 10, 2017; Published: 3 May 2017); https://doi.org/10.1117/12.2261997.
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Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon