Beyond the Industrial Web: Economic Synergies and Targeting Methodologies
Language: English
Published by Biblioscholar, 2012
- Softcover
- New

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In English.
Seller Inventory # ria9781249328339_new
- Title
- Beyond the Industrial Web: Economic Synergies and Targeting Methodologies
- Author
- Rinaldi, Steven M
- Publisher
- Biblioscholar
- Publication year
- 2012
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1249328330
- ISBN 13
- 9781249328339
- Item weight
- 260 grams
Economies are complex systems composed of a number of infrastructure elements. These elements, such as electrical grids, petroleum, oil, and lubricants (POL) distribution networks, and telecommunications systems, are interconnected in a myriad of ways. As a result of this connectivity, an attack on one infrastructure element influences the others to varying degrees. When targeting an economy, an air planner must account for this connectivity and the downstream effects that naturally occur. Historically, however, air planners have overlooked the interrelated nature of a nation's infrastructure and employed reductionist targeting techniques. Typically, they split an economy into individual target sets. Then, they select targets in each set in isolation from other targets, without anticipating the holistic effect of air bombardment. This is an inappropriate technique for targeting, as it overlooks the complex behaviors and characteristics of economies.
In this thesis, we propose a new manner of targeting economies-a holistic approach that accounts for the linkages between infrastructure elements and their resultant synergies. We first establish a theoretical foundation for targeting based on complexity science. This discipline examines the nature of complex, interconnected systems such as economies. Next, we demonstrate that economies are indeed highly interconnected systems. These linkages cannot be ignored in the targeting process. Finally, we tentatively propose a computer algorithm capable of targeting multiple, interacting infrastructure elements. The technique employs a genetic algorithm coupled to standard industrial analysis programs. When implemented, this computer technique should dramatically improve the effectiveness of economic targeting.
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.
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.
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.
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