贝叶斯网络在战术态势估计中的应用

战场态势估计是指挥决策的基础,如何进行合理的态势估计是当前战场指挥系统中最重要的组成部分;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;因果推理是态势估计中的一个重要环节,用贝叶斯网络找出态势假设和事件之间的潜在关系,正是态势估计所需完成的功能;根据态势与事件之间不同的连接关系建立态势估计的贝叶斯网络模型,介绍贝叶斯网络推理算法和步骤,并给出实例仿真;结果表明,将贝叶斯网络用于态势估计,能够进行推理得到完整的战场态势信息,为决策提供依据。

Application of Bayesian Networks in Tactical Situation Assessment

Battlefield situation assessment is hasis of command decision.Situation assessment is most important component of current command decision system.As a knowledge representation framework and a kind of probability inference engine,Bayesian networks are wide- ly used in reasoning and decision-making.Causal reasoning plays an important role in situation assessment(SA).Finding out the hidden patterns between situation hypothesis and events is the function needed in situation assessment.Based on different link relationship,a Bayes- ian network model for situation assessment is set up.The inference algorithms and steps of Bayesian networks are introduced,and finally a example simulation is given.The result shows that the application of Bayesian network to situation assessment can infer and get entire battle- field situation information,thus supports decision.