Reexamining Computational Support for Intelligence Analysis: A Functional Design for a Future Capability
Abstract
This technical report is the Final Deliverable for Grant No.: N00244-15-1-0051 from the Naval Postgraduate School (NPS) with funding via the NAVSUP Fleet Logistics Center San Diego, on the topic of Advancing Human-Machine Symbiosis Using Hybrid Methods for Collaborative Problem-Solving. This effort was a basic and applied research study program involving thorough reviews and assessments of applicable state of the art research and methods, and the development of a detailed functional design for an advanced-capability intelligence analysis computer-based support system. The technical areas studied involved principles of argumentation including especially computational support aspects for enabling argumentation-based analysis, story-based analysis, uncertainty aspects of analysis in an open-world environment, human-machine symbiosis, hard and soft information fusion, and computational methods for narrative development. Our effort cumulates in a top-level functional design of a notional prototype capability for providing computational support to a hybrid argumentation plus story-based analysis capability. This research was further vetted in the presentation and writing of a paper on the project at the 13th International Conference on Distributed Computing and Artificial Intelligence (DCAI'16) in Seville, Spain in June of 2016
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 14, 2016
- Accession Number
- AD1017286
Entities
People
- Alicia Ruvinsky
- Galina Rogova
- James Llinas
- Kevin Barry
- Peter Gerken
- Rachel Hingst