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Near Real Time Discovery and Conversion of Open Source Information to a Reward Matrix

机译:近实时发现并将开放源信息转换为奖励矩阵

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We describe a system model for determining decision making strategies based upon the ability to perform data mining and pattern discovery utilizing open source information to automatically predict the likelihood of reactions to specific events or situational awareness from multiple information sources. Within this paper, we discuss the development of a method for determining actionable information to efficiently propitiate manpower, equipment assets, or propaganda responses to multiple application case scenario experiments. In our experiments, we have integrated open source information linking to human sentiment and manipulated other user selectable interlinking relative probabilities for different reactions to different events based upon current knowledge generated from the situation or event. The goal of our solution, called GlobalSite, is to deliver trustworthy decision making analysis which evaluates situations and potential impacts of such decisions through acquired open source information becoming a vital tool for continuing mission operations, analyst information or other decision making scenarios.
机译:我们描述了一种系统模型,该模型用于基于使用开放源信息执行数据挖掘和模式发现的能力来确定决策策略的能力,以自动预测对来自多个信息源的特定事件或态势感知做出反应的可能性。在本文中,我们讨论了一种确定可操作信息的方法的开发,以有效地增加人力,设备资产或对多个应用案例的实验性宣传响应。在我们的实验中,我们已经集成了链接到人类情感的开源信息,并根据从情况或事件中产生的当前知识,对不同事件的不同反应操纵了其他用户可选择的相互关联的相对概率。我们的解决方案称为GlobalSite的目标是提供可信赖的决策分析,该分析通过获取的开源信息来评估此类决策的情况和潜在影响,这些信息成为继续执行任务,分析人员信息或其他决策场景的重要工具。

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