Cross-Milieu Terrorist Collaboration: Using Game Theory to Assess the Risk of a Novel Threat.
نویسندگان
چکیده
This article uses a game-theoretic approach to analyze the risk of cross-milieu terrorist collaboration-the possibility that, despite marked ideological differences, extremist groups from very different milieus might align to a degree where operational collaboration against Western societies becomes possible. Based upon theoretical insights drawn from a variety of literatures, a bargaining model is constructed that reflects the various benefits and costs for terrorists' collaboration across ideological milieus. Analyzed in both sequential and simultaneous decision-making contexts and through numerical simulations, the model confirms several theoretical arguments. The most important of these is that although likely to be quite rare, successful collaboration across terrorist milieus is indeed feasible in certain circumstances. The model also highlights several structural elements that might play a larger role than previously recognized in the collaboration decision, including that the prospect of nonmaterial gains (amplification of terror and reputational boost) plays at least as important a role in the decision to collaborate as potential increased capabilities does. Numerical simulation further suggests that prospects for successful collaboration over most scenarios (including operational) increase when a large, effective Islamist terrorist organization initiates collaboration with a smaller right-wing group, as compared with the other scenarios considered. Although the small number of historical cases precludes robust statistical validation, the simulation results are supported by existing empirical evidence of collaboration between Islamists and right- or left-wing extremists. The game-theoretic approach, therefore, provides guidance regarding the circumstances under which such an unholy alliance of violent actors is likely to succeed.
منابع مشابه
Risk management in urban tunnels using methods of game theory and multi-criteria decision-making
In general, underground spaces are associated with high risks because of their high uncertainty in geotechnical environments. Since most accidents and incidents in these structures are often associated with uncertainty, the development of risk analysis and management methods and prevention of accidents are essential. A deeper recognition of the factors affecting the implementation process can p...
متن کاملNGTSOM: A Novel Data Clustering Algorithm Based on Game Theoretic and Self- Organizing Map
Identifying clusters is an important aspect of data analysis. This paper proposes a noveldata clustering algorithm to increase the clustering accuracy. A novel game theoretic self-organizingmap (NGTSOM ) and neural gas (NG) are used in combination with Competitive Hebbian Learning(CHL) to improve the quality of the map and provide a better vector quantization (VQ) for clusteringdata. Different ...
متن کاملA New Method in Bankruptcy Assessment Using DEA Game Theory
One of the most important economic concepts is evaluation and bankruptcy prediction. Financial events, which an organization could be, exposed to serious risks and it goes bankruptcy. Therefore, prediction and assessment bankruptcy enable organizations that to be familiar the financial risks and resolve their financial deficiencies. So in this paper, we discuss one of the most important economi...
متن کاملMODELING RISK OF LOSING A CUSTOMER IN A TWO-ECHELON SUPPLY CHAIN FACING AN INTEGRATED COMPETITOR: A GAME THEORY APPROACH
In a competitive market, customer decision is made to maximize his utility. It can be assumed that risk of losing a supply chain’s customer can be defined based on products utility from customer point of view. This paper takes account of product price and service level as competition criteria. The proposed model is based on non-cooperative game theory, for one-manufacturer and one-retailer supp...
متن کاملObtaining a possible allocation in the bankruptcy model using the Shapley value
Data envelopment analysis (DEA) is an effective tool for supporting decision-makers to assess bankruptcy, uncertainty concepts including intervals, and game theory. The bankruptcy problem with the qualitative parameters is an economic problem under uncertainty. Accordingly, we combine the concepts of the DEA game theory and uncertain models as interval linear programming (ILP), which can be app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Risk analysis : an official publication of the Society for Risk Analysis
دوره 37 2 شماره
صفحات -
تاریخ انتشار 2017