Influence Network and Its Application in Combat Course of Action Optimized Selection
As a typical probabilistic network modeling method,influence network(IN)is widely used in combat course of action(COA)optimized selection.Firstly,the advantages of IN compared with other probabilistic network methods are analyzed,and the application of basic IN in COA modeling and generation is summarized.Secondly,the current research status of extended IN is summed up from the perspectives of mechanism extension and function extension.Then,the problem of COA op-timized selection under uncertainty is analyzed to ensure its robustness and adaptability.Finally,the prospect of further research on combat COA based on IN is given.
influence network(IN)probabilistic networkcourse of action(COA)modeling and generation