分析和预测叛乱对美国军事战略的影响

T. W. Bernica, V. Guarino, A. Han, L. F. Hennet, M. Mitchell, M. Gerber, D. Brown
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引用次数: 1

摘要

鉴于美国军方目前的许多冲突都涉及叛乱组织,军方了解这些非传统力量的性质、动机和运作是至关重要的。许多模型都试图预测成功的叛乱冲突;然而,大多数未能将不同类型的因素综合起来,即:政治、地理、社会、经济和文化。随着整合所有这些因素的模型的建立,在叛乱组织获得影响力之前预测其成功将成为一个更容易实现的目标。我们的重点是研究过去的叛乱活动,以确定导致其成功或失败的因素,以获得影响力。一旦历史冲突数据被编译,我们使用这些信息来训练和测试统计模型,以预测未来叛乱冲突的成功或失败。我们的研究结果表明,某些因素与叛乱冲突的成败有很强的相关性。对于测试集中的历史冲突,该模型在36次中准确预测了27次冲突的结果。我们详细讨论了我们的数据收集和建模工作,并对该领域的未来工作提出了见解。
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Analysis and prediction of insurgent influence for U.S. military strategy
Given that many of the U.S. Military's current conflicts involve insurgent groups, it is critical that the military understands the nature, motivations, and workings of these non-traditional forces. Many models have attempted to predict successful insurgent conflicts; however, most fail to incorporate the different types of factors collectively, namely: political, geographic, social, economic and cultural. With the creation of a model that incorporates all of these factors, predicting the success of an insurgent group before they gain influence will become a more attainable pursuit. We focused on researching past insurgencies to identify factors that lead to their successes or failures in gaining influence. Once the historical conflict data was compiled, we used the information to train and test statistical models to predict the success or failure of future insurgent conflicts. Our results indicate that certain factors have a strong correlation with the success and failure of an insurgent conflict. For historical conflicts in the testing set, the model accurately predicted the outcome of the conflict 27 out of 36 times. We discuss our data collection and modeling work in detail and offer insights into future work in this area.
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