Human/autonomy collaboration for the automated generation of intelligence products

Autor: Robert P. Goldman, Jason Schlachter, Phil DiBona, Ugur Kuter
Rok vydání: 2017
Předmět:
Zdroj: SPIE Proceedings.
ISSN: 0277-786X
DOI: 10.1117/12.2261997
Popis: 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.
Databáze: OpenAIRE