Research on Integrated Modeling Method of Combat Entity Behavior Based on BDD
Traditional rule-based modeling methods have some problems,such as limited rule modeling,incomplete behavior description,and difficulty in dealing with unknown events in combat.For these problems,an over-all concept of"perception behavior,decision behavior,physical behavior"and a modeling framework based on the in-tegration of rules and learning are established,and an integrated modeling method of cognitive behavior of combat en-tities based on behavior tree,deep neural network and deep reinforcement learning(BDD)is implemented,including unknown event perception and feature recognition based on deep neural network,and behavior decision of unknown e-vent disposal based on PER-DQN algorithm,which together with behavior tree method complete the processing of complete battlefield situation.The behavior model is built by taking battlefield reconnaissance as an example.Experi-mental results show that this method expands the decision-making ability of the behavior tree,and can solve the prob-lem of the limitation of behavior tree rule modeling.It can be applied to modeling the behavior model of combat enti-ties in complex battlefield environments.
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