Agent-Based Military Command System Analysis Using Markov Chain Model
In this paper, we present a platform-level agent-based simulation architecture for tactical command system by setting up mappings from command entities to respective command entity agents. In order to solve the problems on the system configuration to enhance its overall efficiency, based on qualitative description of its framework, we place particular emphasis on quantitative analysis. Through transforming the system into a series-wound queue system, we attain a Markov Chain of system state transition, since its state transition process is Markov Process and is consistent with real military command behaviors. Solving the state transition equations makes us find inherent relations of the system configuration. The feasibility and efficiency of our model are proved by the results.
Xiong Li Sheng Dang
Department of Command and Administration Academy of Armored Force Engineering Beijing, China 100072
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）