检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:郭亚楠 曹小群[2] 杨术 周晓光 GUO Yanan;CAO Xiaoqun;YANG Shu;ZHOU Xiaoguang(Naval Aviation University,Huludao 125001,China;College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China)
机构地区:[1]海军航空大学,辽宁葫芦岛125001 [2]国防科技大学气象海洋学院,长沙410073
出 处:《火力与指挥控制》2024年第5期1-8,17,共9页Fire Control & Command Control
基 金:社科基金军事学资助项目(2020-SKJJ-C-030);海军航空大学科研自主立项课题(H3202205002)。
摘 要:智能对手建模是空战仿真领域的重要课题,对于加快空战模拟训练的转型升级,提高训练效益、节约训练成本、降低训练风险等方面具有重要意义。总结了近年来国外智能对手建模技术研究进展;论述了智能对手能力需求与关键技术,分别对智能对手对抗空间表示与建模、态势评估与推理、智能对手自主决策与优化、多智能对手行动协同与控制进行分析。对未来空战智能对手建模技术的发展方向进行了总结和展望,以期为相关研究人员提供参考与启发。Intelligent opponent modeling is an important topic in the field of air combat simulation,which is of great significance to accelerate the transformation upgrade of air combat simulation training and to improve training effectiveness,save the training costs,reduce the training risks,etc.First,the progress of foreign research on intelligent opponent modeling in recent years is summarized.Then,the intelligent opponent capability requirements and key technologies are discussed,and the intelligent opponent confrontation space representation,modeling,situational assessment and reasoning,intelligent opponent autonomous decision-making and optimization,and multiple intelligent opponent action coordination and control are analyzed respectively.Finally,the development direction of future air combat intelligent opponent modeling technology is summarized and foreseen,in order to provide reference and inspiration for the related researchers.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.219.206.240