Validating Game-Theoretic Models of Terrorism: Insights from Machine Learning

Games

卷:12

Atin Basuchoudhary¹  James T. Bang²  Aniruddha Mitra³ 

[1] Department of Economics and Business, Virginia Military Institute, Lexington, VA 24450, USA;

[2] Department of Economics, St. Ambrose University, Davenport, IA 52803, USA;

[3] Economics Program, Bard College, Annandale-On-Hudson, NY 12504, USA;

关键词: machine learning;    terrorism;    game theory;   

DOI  :  10.3390/g12030054

来源: DOAJ

【 摘 要 】

There are many competing game-theoretic analyses of terrorism. Most of these models suggest nonlinear relationships between terror attacks and some variable of interest. However, to date, there have been very few attempts to empirically sift between competing models of terrorism or identify nonlinear patterns. We suggest that machine learning can be an effective way of undertaking both. This feature can help build more salient game-theoretic models to help us understand and prevent terrorism.

【 授权许可】

Unknown