Decision-making model of tactics maneuver agent based on fuzzy Markov decision theory
Weidong Liu · Systems engineering and electronics · 2008
For the background of maneuver operational simulation,the problem of optimal maneuver decision based on agent theory is studied.The conventional Markov decision model is extended.A fuzzy tactics maneuver decision-making model is proposed.The model defines the fuzzy state space,the fuzzy state transfer regularity and decision lucre,which preferably describes the information processing of fuzzy cognition,analysis and judgement under attack threaten circumstance in realistic operations.Further,reinforcement learning is introduced to solve the model when the state transfer regularity cannot make sure.Dynamic classify of state space,identification of observation state and Q-learning with prior knowledge are researched in reinforcement learning process.The simulation experiment is carried out and the result testifies the validity of the model and algorithm.