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Identifying the Complex Causes of Civil War - A Machine Learning Approach (Hardcover, 1st ed. 2021)
Loot Price: R1,968
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Identifying the Complex Causes of Civil War - A Machine Learning Approach (Hardcover, 1st ed. 2021)
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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.
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