美军军事智能化研究现状与启示
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- 英文论文题名：Introduction and Inspiration to Military Intelligent of America
- 论文作者：李婷婷
- 英文论文作者：LI Ting-ting ; Science and Technology on Information System Engineering Laboratory
- 年：2017
- 作者机构：信息系统工程重点实验室;
- 论文关键词：指挥与控制 ; 人工智能 ; 深绿系统 ; AlphaAI ; 指挥官虚拟参谋
- 英文论文关键词：Command and Control ; Artificial Intelligence ; Deep Green System ; AlphaAI ; Commander's Virtual Staff
- 会议召开时间：2017-07-03
- 会议录名称：第五届中国指挥控制大会论文集
- 语种：中文
- 分类号：E712
- 学会代码：ZHKZ
- 会议名称：第五届中国指挥控制大会
- 会议地点：中国北京
- 主办单位：中国指挥与控制学会
- 学会名称：中国指挥与控制学会
- 页数：5
- 文件大小：422k
- 原文格式：D
- 会议级别：全国
摘要
智能化技术的高速发展推动着军事领域向智能化方向迈进,文章分析了指挥与控制系统对于智能化技术的需求。美军在军事智能化的道路上已经走在世界前列,并实施和布局了一系列的项目。文章对美军的"深绿"计划、Alpha AI空战模拟系统到指挥官虚拟参谋CVS三个代表性的军事智能化项目进行了技术及能力分析,并对指挥与控制系统智能化需要首先突破的几个基础性问题提出了建议。
As the fast development of the artificial intelligence, military is trend to more and more intelligent. The requirements of the intelligent command and control system are analyzed in this paper. The U.S. has been the front of the uses of artificial intelligence in military. The deep green program, the simulated aerial warfare system(Alpha AI)and the Commander's Virtual Staff(CVS)program are analyzed both in technology and capability. Inspirations and suggestions were given to the development of intelligent command and control system.
As the fast development of the artificial intelligence, military is trend to more and more intelligent. The requirements of the intelligent command and control system are analyzed in this paper. The U.S. has been the front of the uses of artificial intelligence in military. The deep green program, the simulated aerial warfare system(Alpha AI)and the Commander's Virtual Staff(CVS)program are analyzed both in technology and capability. Inspirations and suggestions were given to the development of intelligent command and control system.
引文
[1]蒋晓原,邓克波.面向未来信息化作战的指挥信息系统需求[J].指挥信息系统与技术,2016,7(4):1-5.
[2]章华平,赵朔,何加浪.自组织作战及其对指挥信息系统的需求[J].指挥信息系统与技术,2016,7(4):28-33.
[3]林晓强,常国岑,杨凡,态势评估领域知识的表示方法研究[J].航天电子对抗,2006,22(6):62-64.
[4]何红,王跃利,王世光.军事数据分析产品若干问题研究[J].军事运筹与系统工程,2012,26(1):22-24.
[5]胡晓峰,荣明.作战决策辅助向何处去——“深绿”计划的启示与思考[J].指挥与控制学报,2016,2(1):22-25.
[6]ZHOU Y,HUANG J,HUANG K.Review on key technology in deepgreen[J].Journal of System Simulation,2013(7):34-37.
[7]ZHOU Y,HUANG J,HUANG K.A study on impact of“deep green”on Command and control[J].Fire Control&Command Control,2013,38(6):3-6.
[8]金欣“深绿”及Alpha Go对指挥与控制智能化的启示[J].指挥与控制学报.2016,2(3):202-206.
[9]Nicholas Ernest,David Carroll,Corey Schumacher.Genetic Fuzzy based Artificial Intelligence for Unmanned Combat Aerial Vehicle Control in Simulated Air Combat Missions.Journal of Defense Management.2016,6:1.
[10]George I.Seffers.Commanding the Future Mission.www.afcea.org.2016.5.1.
[2]章华平,赵朔,何加浪.自组织作战及其对指挥信息系统的需求[J].指挥信息系统与技术,2016,7(4):28-33.
[3]林晓强,常国岑,杨凡,态势评估领域知识的表示方法研究[J].航天电子对抗,2006,22(6):62-64.
[4]何红,王跃利,王世光.军事数据分析产品若干问题研究[J].军事运筹与系统工程,2012,26(1):22-24.
[5]胡晓峰,荣明.作战决策辅助向何处去——“深绿”计划的启示与思考[J].指挥与控制学报,2016,2(1):22-25.
[6]ZHOU Y,HUANG J,HUANG K.Review on key technology in deepgreen[J].Journal of System Simulation,2013(7):34-37.
[7]ZHOU Y,HUANG J,HUANG K.A study on impact of“deep green”on Command and control[J].Fire Control&Command Control,2013,38(6):3-6.
[8]金欣“深绿”及Alpha Go对指挥与控制智能化的启示[J].指挥与控制学报.2016,2(3):202-206.
[9]Nicholas Ernest,David Carroll,Corey Schumacher.Genetic Fuzzy based Artificial Intelligence for Unmanned Combat Aerial Vehicle Control in Simulated Air Combat Missions.Journal of Defense Management.2016,6:1.
[10]George I.Seffers.Commanding the Future Mission.www.afcea.org.2016.5.1.