Application of Bayesian Networks to Situation Assessment
Xiaoguang Gao · Fire Control and Command Control · 2008
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.