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About this product
- DescriptionThis effort models information flow through the United States Intelligence Community's Intelligence Cycle using a kwledge matrix methodology. The kwledge matrix methodology takes explicit data from multiple sources and fuses that data to measure a current level of kwledge about a target, or situation. Kwledge matrices are used to develop a measure of user-needs satisfaction. User-needs satisfaction compares requested levels of kwledge to a probability of collecting that kwledge within a designated timeframe. This effort expands the work done by Captain Carl Pawling in his March 2004 thesis, Modeling and Simulation of the Military Intelligence Process, by modeling intelligence as an opportunistic, multi-source, multi-entity system of systems. The value of intelligence fusion is compared, and analyzed between three different algorithms; fusion, a mixed forward and fuse strategy, and strict fusion strategy. These fusion algorithms are then applied to competing intelligence collection architectures in varying intelligence activity scenarios to determine which architectures will most improve the probability of satisfactory collection. Satisfactory collection is measured in terms of quantity, timeliness, and user-need satisfaction of completed intelligence reports.
- Author(s)Kevin J Whaley
- Date of Publication20/09/2012
- FormatPaperback / softback
- SubjectEducation & Teaching
- Country of PublicationUnited States
- Weight327 g
- Width189 mm
- Height246 mm
- Spine10 mm
- Format DetailsTrade paperback (US),Unsewn / adhesive bound
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