摘要
战略博弈推演是战略决策的重要手段。剖析了战略博弈推演研究现状及面临的挑战,分析了大数据、人工智能技术对战略博弈推演系统建设带来的启示,研究提出下一代战略博弈推演系统发展设想以及需要突破的关键技术,即面向战略主题的事件关联图谱构建、基于生成对抗网络的战略决策稀疏样本生成、人在回路混合增强博弈策略学习及基于社交网络的舆情传播建模技术。在此基础上,对未来战略博弈推演的发展趋势进行了展望。
Strategic wargame is an important support to the strategic decision.The research status and challenges of the strategic wargame are analyzed,and the influence of big data and artificial intelligence technology on the strategic wargame system is studied.The prospects and key technologies of the next-generation strategic wargame system are studied,including the construction of event association graph for strategic topics,generation of strategic decision sparse samples based on generative adversarial nets,gaming strategy learning of human-in-loop hybrid enhancement,and public opinion dissemination modeling technology based on social network.The development trend of the strategic wargame is proposed.
作者
吴曦
孟祥林
杨镜宇
Wu Xi;Meng Xianglin;Yang Jingyu(College of Joint Operation,National Defense University,Beijing 100091,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2021年第9期2017-2024,共8页
Journal of System Simulation
关键词
战略博弈推演
战略决策
知识图谱
强化学习
生成对抗网络
strategic wargame
strategic decision
knowledge graph
reinforcement learning
generative adversarial nets
