Fusion-Based Knowledge for the Objective Force

In sum, the volume and nature of information reported to analysts and decision-makers exceeds their capabilities to process it in a manner that satisfies the time-constraints and level of situational understanding desired for planning and acting within the adversaries decision cycle. The overall obj...

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Bibliographic Details
Main Authors: Powell, Gerald M, Broome, Barbara
Format: Report
Language:English
Subjects:
ARMY OPERATIONS
DATA FUSION
DECISION SUPPORT SYSTEMS
Information Science
INFORMATION SYSTEMS
JOINT MILITARY ACTIVITIES
MILITARY FORCES(UNITED STATES)
MILITARY INTELLIGENCE
Military Operations, Strategy and Tactics
OBJECTIVE FORCES
RULE BASED SYSTEMS
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Summary:In sum, the volume and nature of information reported to analysts and decision-makers exceeds their capabilities to process it in a manner that satisfies the time-constraints and level of situational understanding desired for planning and acting within the adversaries decision cycle. The overall objective of this science and technology project is to develop an advanced knowledge generation and explanation capability (automated decision-support) for answering war fighting commanders' critical intelligence requirements in a timely manner. The scope of the project will address particular requirements and issues associated with intelligence analysis and decision-making conducted at the U.S. Army Division level today, as well as the Army's Future Combat System's Unit of Employment and Unit of Action. Clearly, the problems addressed by this project intersect with many of the critical problems characterizing the war against terrorism as well. This paper characterized the nature of the problems and challenges currently faced by Army analysts and the decision-makers they support. It identified issues and requirements associated with these problems and described our planned technical approach including: the technologies we plan to explore and how they may be utilized (e.g., ontologies, Bayesian belief networks, rule-based systems, and knowledge discovery); an initial candidate system architecture; metrics and methods for system evaluation; and the central role of cognitive engineering in our approach to human-computer system design. We also identified a number of key projects directly related to this one both within DARPA and the U.S. armed services that we believe provide an excellent opportunity for cross-fertilization and synergy. The original document contains color images.