A Knowledge Matrix Modeling of the Intelligence Cycle

<p>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.</p><p>This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact and remains as true to the original work as possible. Therefore you will see the original copyright references library stamps (as most of these works have been housed in our most important libraries around the world) and other notations in the work.</p><p>This work is in the public domain in the United States of America and possibly other nations. Within the United States you may freely copy and distribute this work as no entity (individual or corporate) has a copyright on the body of the work.</p><p>As a reproduction of a historical artifact this work may contain missing or blurred pages poor pictures errant marks etc. Scholars believe and we concur that this work is important enough to be preserved reproduced and made generally available to the public. We appreciate your support of the preservation process and thank you for being an important part of keeping this knowledge alive and relevant.</p><br>