首页> 外文会议>Simulation Interoperability Workshop >The Applicability of Atmospheric Forecast Data (Perceived Truth) That is Consistent with and Correlated with Atmospheric Instance Data (Ground Truth) for Simulations - A Future Piece of the Front-End Process to the SNE Conceptual Reference Model
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The Applicability of Atmospheric Forecast Data (Perceived Truth) That is Consistent with and Correlated with Atmospheric Instance Data (Ground Truth) for Simulations - A Future Piece of the Front-End Process to the SNE Conceptual Reference Model

机译:大气预测数据(感知真理)的适用性与仿真的大气实例数据(地面真相)一致,是SNE概念参考模型的未来前端过程

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Models of military operations depend on interaction with environmental instance data (ground truth) to determine simulation outcomes. A corollary to the need for the ground truth data is that some simulations also need forecast data (perceived truth). Perceived truth data are needed when humans or human-behavior objects base decisions on perceptions of future battlefield conditions. Normally, perceived truth must follow logically from a simulation's ground truth and there are three basic methods that can be used to provide it. One method uses a numerical weather prediction model to generate perceived truth, a second uses variations of ground truth, and the third uses climatology. The value of perceived truth in any simulation depends on the "mind-set" of the decision-maker (humans or human-behavior objects). In some cases, forecasts have little value. This can occur when the decision-maker wants to learn or train without serious complications introduced by weather. This is a legitimate objective in some cases. It can also occur when the decision-maker plans to fly every sortie possible in order to take out enemy targets as quickly as possible. At those times operating effectiveness is important, but the cost of operating is not. In other cases, forecasts can have great value. This occurs when operating efficiency is important or desirable, or operating cost is a factor. In some cases, no-skill persistence forecasts could be used to determine "what's the worst I can do?" or perfect forecasts would answer the question "what's the best I can do?" Thus, it's possible for the simulation user to ask for and use perceived truth data in ways contrary to those in which the environmentalist expects them to be used. What's best for your simulation? It depends... but you do have choices.
机译:军事行动的模式依赖于环境的实例数据(地面实况)交互以确定模拟的结果。一个推论需要对地面真实数据,是一些模拟还需要预测数据(感知真相)。当人类或人类行为对未来战场环境的感知对象基地的决定是需要领悟真理的数据。通常情况下,认为真理必须从模拟的地面真理逻辑上跟随并有可以用来为它提供三种基本方法。一种方法是使用一个数字天气预测模型以生成真相感知,地面实况的第二用途变化,和所述第三使用气候。在任何模拟察觉真相的值取决于决策者(人类或人类行为的对象)的“思维定式”。在某些情况下,预测价值不大。当决策者想要了解或没有受到天气引入严重的并发症训练可能发生这种情况。这在某些情况下,一个合法的目标。它也可以发生时决策者计划每飞尽可能出击,以尽快拿出敌方目标成为可能。在这些时候执行的有效性是重要的,但操作的成本是没有的。在其他情况下,预测可以有很大的价值。发生这种情况时的操作效率是重要的或期望的,或操作成本的一个因素。在某些情况下,无技能的持久性的预测可以用来确定“什么是我可以做的最糟糕?”或完美的预测将回答这个问题:“什么是我能做到的最好?”因此,有可能为模拟用户询问并在相反那些其中环保希望他们使用的方式使用感知的事实数据。什么是最适合你的模拟?这要看...但你有选择。

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