Intelligent decision-making modeling for unmanned aerial vehicle based on probability graphical models

Abstract

Intelligent assistant decision-making system is more and more important in modern war along with high-tech of weapon, complexity of battlefield and quicken of combat rhythm. For the requirement of intelligent and independence of unmanned aerial vehicle, based on the merits and advantage of probability graphical models on uncertainty inference, the tactics decision-making modeling of UAV with probability graphical models was brought forward. The modeling flow and inference algorithm of UAV based on Bayesian inference algorithm has been given out. The method has been tested with a given conditions. The simulation results have showed that the tactics decision-making models could improve the decision-making accuracy and intelligent and the algorithm is simple, perspicuity and apt realization.