A Knowledge Matrix Modeling of the Intelligence Cycle

Kevin J. Whaley

ISBN 10: 1249450845 / ISBN 13: 9781249450849

Published by Creative Media Partners, LLC Sep 2012, 2012

About this Item

Neuware - This effort models information flow through the United States Intelligence Community's Intelligence Cycle using a knowledge matrix methodology. The knowledge matrix methodology takes explicit data from multiple sources and fuses that data to measure a current level of knowledge about a target, or situation. Knowledge matrices are used to develop a measure of user-needs satisfaction. User-needs satisfaction compares requested levels of knowledge to a probability of collecting that knowledge 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; no 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.

Seller Inventory # 9781249450849

Bibliographic Details

• Title: A Knowledge Matrix Modeling of the Intelligence Cycle
• Publisher: Creative Media Partners, LLC Sep 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1249450845
• ISBN 13: 9781249450849
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 246W x 192H x 12D millimeters 246 millimeters width by 192 millimeters height by 12 millimeters depth
• Weight: 347 grams

About this title

Synopsis

This effort models information flow through the United States Intelligence Community's Intelligence Cycle using a knowledge matrix methodology. The knowledge matrix methodology takes explicit data from multiple sources and fuses that data to measure a current level of knowledge about a target, or situation. Knowledge matrices are used to develop a measure of user-needs satisfaction. User-needs satisfaction compares requested levels of knowledge to a probability of collecting that knowledge 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; no 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.