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中文摘要：
作为一种知识表示和进行概率推理的框架，贝叶斯网络在具有内在不确定性的推理和决策问题中得到了广泛的应用。因果推理是态势评估中的一个重要环节，用贝叶斯网络找出态势假设和事件之间的潜在关系，正是态势评估所需完成的功能。提出了构建贝叶斯网络进行态势估计的步骤，分析了态势估计系统事件的层次。给出一个具体的实例，演示了使用贝叶斯网络进行态势估计的过程。
英文摘要：
As a knowledge representation framework and a kind of probability inference engine, Bayesian networks are widely used in reasoning and decision-making. Casual reasoning plays an important role in situation assessment. Finding out the hidden patterns between situation hypothesis and events is the function needed in situation assessment. In this paper, the steps to construct a Bayesian networks for situation assessment were presented, and the layers of events in the situation assessment system were analysed. Finally ,the process of how to use the Bayesian networks for situation assessment was showed by an example.
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