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A computational model of public support for insurgency and terrorism : a prototype for more-general social-science modeling /
This report builds on earlier RAND research (e.g., Understanding and Influencing Public Support for Insurgency and Terrorism, 2012) that reviewed and integrated social science relevant to terrorism and insurgency. That research used qualitative conceptual causal models called "factor trees"...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Autores Corporativos: | , , |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Santa Monica, CA :
RAND,
2013.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | This report builds on earlier RAND research (e.g., Understanding and Influencing Public Support for Insurgency and Terrorism, 2012) that reviewed and integrated social science relevant to terrorism and insurgency. That research used qualitative conceptual causal models called "factor trees" to identify the factors that contribute to various aspects of terrorism or insurgency at a slice in time and how the factors relate to each other qualitatively. This report goes beyond the conceptual and qualitative by specifying a prototype uncertainty-sensitive computational model for one of the factor trees from the earlier research, one that describes public support for terrorism and insurgency. The authors first detail their approach to designing such a model, emphasizing the challenges they encountered in assigning mathematical meaning to the factor tree's numerous factors and subfactors, identifying suitable "building block" combining algorithms, and the uncertainty in their values and the relationships among them. They then describe how they implemented the model in a high-level visual-programming environment, show how the model can be used for exploratory analysis under uncertainty, and discuss their initial experience with it. Methodologically, the work illustrates a new approach to causal, uncertainty-and-context-sensitive, social-science modeling. It also illustrates how such models can be reviewable, reusable, and potentially composable |
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| Notas: | "RAND National Defense Research Institute." "This research was conducted within the Acquisition and Technology Policy Center of the RAND National Defense Research Institute"--Preface |
| Descripción Física: | 1 online resource (xxi, 88 pages) : color illustrations |
| Bibliografía: | Includes bibliographical references (pages 85-88). |
| ISBN: | 9780833083203 0833083201 |