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Review of Game Theory Applications for Situation Awareness

机译:博弈论在态势感知中的应用综述

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Game theoretical methods have been used for spectral awareness, space situational awareness (SSA), cyber situational awareness (CSA), and Intelligence, Surveillance, and Reconnaissance situation awareness (ISA). Each of these cases, awareness is supported by sensor estimation for assessment and the situation is determined from the actions of multiple players. Game theory assumes rational actors in a defined scenario; however, variations in social, cultural and behavioral factors include the dynamic nature of the context. In a dynamic data-driven application system (DDDAS), modeling must include both the measurements but also how models are used by different actors with different priorities. In this paper, we highlight the applications of game theory by reviewing the literature to determine the current state of the art and future needs. Future developments would include building towards knowledge awareness with information technology (e.g., data aggregation, access, indexing); multiscale analysis (e.g., space, time, and frequency), and software methods (e.g., architectures, cloud computing, protocols).
机译:博弈论方法已用于频谱感知,空间态势感知(SSA),网络态势感知(CSA)以及情报,监视和侦察态势感知(ISA)。在这些情况中的每一种情况下,感知估计都可以通过传感器估计来进行评估,并且可以根据多个参与者的行动来确定情况。博弈论假设在定义的场景中有理性的参与者;然而,社会,文化和行为因素的变化包括情境的动态性质。在动态数据驱动的应用程序系统(DDDAS)中,建模必须既包括度量,又包括具有不同优先级的不同参与者如何使用模型。在本文中,我们通过回顾文献来确定当前的技术水平和未来需求,从而突出博弈论的应用。未来的发展将包括通过信息技术(例如,数据汇总,访问,索引编制)建立对知识的认识;多尺度分析(例如空间,时间和频率)和软件方法(例如架构,云计算,协议)。

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