| 书目名称 | Identifying the Complex Causes of Civil War | | 副标题 | A Machine Learning A | | 编辑 | Atin Basuchoudhary,James T. Bang,Tinni Sen | | 视频video | | | 概述 | Uses matching techniques to identify causality in the context of civil conflict.Provides an innovative approach to the study of civil conflict, bringing the field forward.Written with a minimum of tec | | 图书封面 |  | | 描述 | .This book uses machine-learning to identify the causes of conflict from among the top predictors of conflict. This methodology elevates some complex causal pathways that cause civil conflict over others, thus teasing out the complex interrelationships between the most important variables that cause civil conflict. Success in this realm will lead to scientific theories of conflict that will be useful in preventing and ending civil conflict. After setting out a current review of the literature and a case for using machine learning to analyze and predict civil conflict, the authors lay out the data set, important variables, and investigative strategy of their methodology. The authors then investigate institutional causes, economic causes, and sociological causes for civil conflict, and how that feeds into their model. The methodology provides an identifiable pathway for specifying causal models. This book will be of interest to scholars in the areas of economics, political science, sociology, and artificial intelligence who want to learn more about leveraging machine learning technologies to solve problems and who are invested in preventing civil conflict.. | | 出版日期 | Book 2021 | | 关键词 | machine learning; conflict studies; artificial intelligence; economic variables; demographic variables; c | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-81993-4 | | isbn_ebook | 978-3-030-81993-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:34:18
