Markov Process-oriented Analysis to Multi-agent Military Command & Control System Configuration

摘要：

In this paper, a multi-agent military Command & Control system is defined as a collection of entities, which are able to interact among them in order to reach an overall goal, i.e., fulfill Command & Control tasks. In order to solve the problems on the system configuration to enhance its overall efficiency, based on qualitative description of its framework, quantitative analysis is presented. Through transforming the system into an interaction task request-service mechanism queuing system, a Markov Chain of system state transition is attained, since its state transition process is Markov Process and is accordant to real military Command & Control behaviors. By solving the state transition equations, the inherent relations of Command & Control entities is found and the optimized system configuration is obtained. The results show the effectiveness of the proposed approach and model.

关键词： agent agent-based modeling and simulation Markov process Command & Control system

作者: Xiong Li Yonglong Chen Yingjiu Sun

作者单位: Department of Command and A dministration Academy of Armored Force EngineeringBeijing 100072, China Department of Equipment Command Academy of Equipment Command and Technology Beijing 101416, China Troop NO. 92823 of PLA Sanya 57200 Hainan, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 571-574

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）