面向智能成长的兵棋推演生态系统  

Wargaming Eco-system for Intelligence Growing

作　　者：吴琳[1] 胡晓峰[1] 陶九阳[1] 贺筱媛[1] Wu Lin;Hu Xiaofeng;Tao Jiuyang;He Xiaoyuan(College of Joint Operation,National Defense University,Beijing 100091,China)

机构地区：[1]国防大学联合作战学院,北京100091

出　　处：《系统仿真学报》2021年第9期2048-2058,共11页Journal of System Simulation

摘　　要：构建下一代智能化兵棋系统,难在不能一蹴而就,需要通过构建生态系统逐渐成长智能。界定了智能化兵棋生态系统的基本概念,提出动态开放、层次多样和协同演化的理念。借鉴人类智能成长过程和学习进化机制,构建了下一代兵棋认知智能演化成长的双螺旋模型,给出了基于观察-学习-测试-应用循环的兵棋推演生态系统体系框架;分析了数字孪生、人机融合共生、数据样本生成、智能测试评估、云原生等技术在构建兵棋推演生态系统中的应用。The construction of the next generation intelligent wargaming system can not be accomplished at one move,but through building an ecosystem to gradually grow intelligence.The basic concepts of the intelligent wargame ecosystem,and are defined the idea of dynamic openness,diversified levels and co-evolution are proposed.Drawing lessons from the human intelligence growing process and learning-evolution mechanism,the double helix model of the next generation of wargame cognitive intelligent evolution and growth is constructed.On the basis of the OLTA cycle,the wargame deduction ecosystem system framework is given.The application of the technologies,such as digital twins,human-machine integration and symbiosis,sample generation,intelligence testing and evaluation,cloud native and so on,in the construction of an ecological environment for wargaming games are analyzed.

关 键 词：认知智能 兵棋推演 生态系统 智能化兵棋 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]