Application of Bayesian Networks in Situation Assessment

The present development of situation assessment and the advantages of Bayesian Networks’ application in it are introduced in this paper. Particularly, network-construction methods and the temporal inference technology in Bayesian Networks for situation assessment are deeply analyzed, and accordingly it is concluded that the development current of Bayesian Network’ application in situation assessment is to promote its coding capability of military-realm knowledge, temporary semantics as well as module inference ability. Finally, existing major problems in all aspects of Bayesian Networks’ application in situation assessment are analyzed and a beneficial research idea is therefore put forward in this paper.