Situation Assessment Based on Bayesian Networks

As a knowledge representation framework and a kind of probability inference engine, Bayesian networks are widely 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. In this paper, a Bayesian network model for situation assessment is set up. Based on different link relationship, the fusion and propagation algorithms of new information through the network are introduced. Finally, an example is provided to show the calculation process of the network.