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Emergent behavior identification within an agent-based model of the Ballistic Missile Defense System using statistical debugging

机译:使用统计调试的弹道导弹防御系统基于代理的模型中的紧急行为识别

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In this paper, we utilize a software engineering technique called statistical debugging to experimentally identify emergent behaviors in a System of Systems. We apply the technique to an agent-based model of the Ballistic Missile Defense System (BMDS) in which each component of the BMDS has operational and managerial independence as well as geographic distribution. We develop a simple game where the BMDS (blue) is attacked by enemy threats (red) and repeat the game for a large number of replications. Results show that there is no strategy that guarantees a blue win. In addition, there are more losing strategies than winning ones and finally there are four strategies that appear in half the wins and the losses. We refer to those as emergent, since they cannot be controlled by either the red or the blue side.
机译:在本文中,我们利用一种称为统计调试的软件工程技术来实验性地识别系统系统中的紧急行为。我们将该技术应用于弹道导弹防御系统(BMDS)的基于代理的模型,其中BMDS的每个组成部分都具有运营和管理独立性以及地理分布。我们开发了一个简单的游戏,其中BMDS(蓝色)受到敌人威胁(红色)的攻击,然后重复该游戏进行大量复制。结果表明,没有任何策略可以确保赢得蓝筹。此外,失败的策略比获胜的策略更多,最后有四种策略出现在获胜和失败的一半中。我们将它们称为紧急事件,因为它们既不能由红色也不能由蓝色控制。

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