Human/autonomy collaboration for the automated generation of intelligence products

Phil DiBona; Jason Schlachter; Ugur Kuter; Robert Goldman

doi:10.1117/12.2261997

3 May 2017 Human/autonomy collaboration for the automated generation of intelligence products

Phil DiBona, Jason Schlachter, Ugur Kuter, Robert Goldman

Proceedings Volume 10207, Next-Generation Analyst V; 1020709 (2017) https://doi.org/10.1117/12.2261997
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

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.

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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 (3 May 2017); https://doi.org/10.1117/12.2261997

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