Situation Awareness based on Bayesian Networks
Xiaorui Zhang · Fire Control and Command Control · 2010
The essence of situation awareness is causal reasoning to achieve situation understanding and diagnostic reasoning to achieve situation projection.In the course of situation awareness,there are two important problems needed to solved which are uncertain knowledge representation and reasoning.Since the merit of Bayesian networks have the advantages on dealing with uncertain reasoning,a new method is proposed which synthesizes both causal reasoning and diagnostic reasoning based on Bayesian networks,and the model of Bayesian networks of situation awareness is given.Based on the algorithm of propagation in Bayesian networks utilized,the method of realizing situation awareness is presented,finally an example is given to demonstrate the feasibility and practicability of the method.