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Proceedings Paper

Human/autonomy collaboration for the automated generation of intelligence products
Author(s): Phil DiBona; Jason Schlachter; Ugur Kuter; Robert Goldman
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Paper 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.

Paper Details

Date Published: 3 May 2017
PDF: 15 pages
Proc. SPIE 10207, Next-Generation Analyst V, 1020709 (3 May 2017); doi: 10.1117/12.2261997
Show Author Affiliations
Phil DiBona, Lockheed Martin Advanced Technology Labs. (United States)
Jason Schlachter, Lockheed Martin Advanced Technology Labs. (United States)
Ugur Kuter, Smart Information Flow Technology, Inc. (United States)
Robert Goldman, Smart Information Flow Technology, Inc. (United States)


Published in SPIE Proceedings Vol. 10207:
Next-Generation Analyst V
Timothy P. Hanratty; James Llinas, Editor(s)

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