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Agent Based Modeling on Organizational Dynamics of Terrorist Network

机译:基于Agent的恐怖网络组织动力学建模

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摘要

Modeling organizational dynamics of terrorist network is a critical issue in computational analysis of terrorism research. The first step for effective counterterrorism and strategic intervention is to investigate how the terrorists operate with the relational network and what affects the performance. In this paper, we investigate the organizational dynamics by employing a computational experimentation methodology. The hierarchical cellular network model and the organizational dynamics model are developed for modeling the hybrid relational structure and complex operational processes, respectively. To intuitively elucidate this method, the agent based modeling is used to simulate the terrorist network and test the performance in diverse scenarios. Based on the experimental results, we show how the changes of operational environments affect the development of terrorist organization in terms of its recovery and capacity to perform future tasks. The potential strategies are also discussed, which can be used to restrain the activities of terrorists.
机译:对恐怖主义网络的组织动力学进行建模是恐怖主义研究的计算分析中的关键问题。有效的反恐和战略干预的第一步是调查恐怖分子如何利用关系网络开展行动以及对绩效产生何种影响。在本文中,我们通过采用计算实验方法来研究组织动力。开发了分级蜂窝网络模型和组织动力学模型,分别用于建模混合关系结构和复杂的操作过程。为了直观地阐明此方法,基于代理的建模用于模拟恐怖分子网络并测试各种情况下的性能。根据实验结果,我们从恐怖组织的恢复能力和执行未来任务的能力方面,展示了作战环境的变化如何影响恐怖组织的发展。还讨论了可能的策略,这些策略可用于限制恐怖分子的活动。

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