面向智能化推演仿真的敌军行动认知研究  

Recognition of Enemy Activity Objected to Intelligent Constructive Simulation

作　　者：胡艮胜[1] 包战[1] 胡睿[1] 

机构地区：[1]国防大学信息作战与指挥训练教研部,北京100091

出　　处：《系统仿真学报》2013年第S1期249-252,共4页Journal of System Simulation

基　　金：国家自然科学基金(61203140)

摘　　要：战争模拟的进一步发展对于推演的规模和速度提出了更高的要求,敌军行动认知已成为智能化军事推演仿真系统模拟态势感知的重要关键技术。基于人类认知的模式理论建立敌军行动知识库,进而提出一种基于模板匹配知识推理的行动认知算法,给出敌军行动认知的模板匹配逻辑和匹配度计算方式,研究如何使用专家系统工具CLIPS基于模块化程序设计思想进行仿真实现,验证了通过模板匹配实现对敌行动推理认知的可行性与有效性。The further development of war simulation put forward higher requirements of higher speed a larger scale.The recognition of enemy activity has become an important key technology of situational awareness in the intelligent constructive simulation system.The enemy activity knowledge base was established based on the theory of Human Cognition,and then an activity recognition method based on template matching and knowledge reasoning was proposed with a template matching logic and a matching calculations algorithm.Finally,how to use expert system tool CLIPS to implement an example with modular programming concept was studied.The simulation verified the feasibility and effectiveness of the enemy activity recognition method of template matching.

关 键 词：推演仿真 智能模拟 行动认知 专家系统 模板匹配 

分 类 号：E91[军事] TP391.9[自动化与计算机技术—计算机应用技术]