Modeling Battlefield Knowledge in Combat Simulation Based on Agent

作     者：JIANG Han, LI Xuejun, YIN Hao (University of Science and Technology, PLA, Nanjing, China, 210007 Institute of China Electronic System Engineering Company, Beijing, 100039) 

会议名称：《Asian Simulation Conference/The 6th International conference on system Simulation and Scientific Computing》

会议日期：2005年

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by Weapon System Foundation of China(51406010304JB0203) 

关 键 词：information entropy battlefield knowledge effectiveness analysis complex adaptive system(CAS) combat simulation 

摘      要：An entropy-based measure model of battlefield knowledge is presented in an effort to evaluate the effectiveness of information sharing in battlefield. Firstly, the battlefield knowledge represent model is introduced. The quantity measure of the knowledge increments from information cooperation is also presented. Then, the evaluation and analytical framework based on this model is discussed as a demonstration in detail. Finally, to investigate the battlefield knowledge increments effectiveness to the combat outcome, we conduct the combat Simulation Based on Agent (SBA). The result validates the validity of the evaluation model and shows the relation between the force attrition and the battlefield knowledge level.