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1. 陆军研究院科技创新中心,北京 100012
2. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
3. 青岛智能产业技术研究院,山东 青岛 266100
[ "李宪港(1983- ),陆军研究院科技创新中心工程师,主要研究方向为科技信息、指挥与控制等" ]
[ "李强(1979- ),在站博士后,陆军研究院科技创新中心高级工程师,主要研究方向为平行指挥与控制、平行情报、未来网络信息与电子技术等" ]
网络出版日期:2020-03,
纸质出版日期:2020-03-20
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李宪港, 李强. 典型智能博弈系统技术分析及指控系统智能化发展展望[J]. 智能科学与技术学报, 2020,2(1):36-42.
Xiangang LI, Qiang LI. Technical analysis of typical intelligent game system and development prospect of intelligent command and control system[J]. Chinese journal of intelligent science and technology, 2020, 2(1): 36-42.
李宪港, 李强. 典型智能博弈系统技术分析及指控系统智能化发展展望[J]. 智能科学与技术学报, 2020,2(1):36-42. DOI: 10.11959/j.issn.2096-6652.202004.
Xiangang LI, Qiang LI. Technical analysis of typical intelligent game system and development prospect of intelligent command and control system[J]. Chinese journal of intelligent science and technology, 2020, 2(1): 36-42. DOI: 10.11959/j.issn.2096-6652.202004.
在智能化时代,战场数据海量异构,无人平台被广泛运用,作战空间由物理域、信息域向认知域加速拓展,对指挥控制的精确性、时效性、有效性提出了更高的要求,指挥与控制智能化为大势所趋。在对典型外军智能化指挥控制系统分析的基础上,梳理了机器博弈技术的发展历程,分析了机器博弈技术应用于智能指挥控制系统面临的挑战,提出了未来指挥控制智能化在对抗训练、战法创新以及指控系统架构设计与实现等方面的设想,以期为未来指挥与控制系统的发展提供借鉴与启示。
In the future era of intelligence
the massive and heterogeneous battlefield data and the widespread use of unmanned platforms will accelerate the expansion of the combat space from the physical and information domains to the cognitive domains
which will put forward higher requirements for the accuracy
timeliness and effectiveness of command and control
and the intelligence of command and control will become the general trend.Based on the analysis of typical foreign intelligent command and control system
the machine game technology development course was clarified
the challenge of applying machine game technology to intelligent command and control system was analyzed
the future intelligent command and control in combat training
operational innovation and prospective of system architecture and implementation was put forward
so as to provide reference and enlightenment for the future development of command and control system.
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 .
HU X F , RONG M . Where do operation decision support systems go:inspiration and thought on Deep Green Plan [J ] . Journal of Command and Control , 2016 , 2 ( 1 ): 22 - 25 .
李婷婷 . 美军军事智能化研究现状与启示 [C ] // 第五届中国指挥控制大会论文集 . 北京:电子工业出版社 , 2017 : 90 - 94 .
LI T T , . Introduction andinspiration to military intelligent of America [C ] // Proceedings of the 5th China Conference on Command and Control . Beijing:Publishing House of Electronics Industry , 2017 : 90 - 94 .
胡晓峰 , 贺筱媛 , 陶九阳 . AlphaGo 的突破与兵棋推演的挑战 [J ] . 科技导报 , 2017 , 35 ( 21 ): 49 - 60 .
HU X F , HE X Y , TAO J Y . AlphaGo’s breakthrough and challenges of wargaming [J ] . Science & Technology Review , 2017 , 35 ( 21 ): 49 - 60 .
中国人工智能学会 . 中国人工智能系列白皮书——机器博弈 [R ] . 2017 .
Chinese Association for Artificial Intelligence . White papers on artificial intelligence in China:computer games [R ] . 2017 .
SILVER D , HUANG A , MADDISON C J , et al . Mastering the game of go with deep neural networks and tree search [J ] . Nature , 2016 ( 529 ): 484 - 489 .
利用人工智能,填补能力短板,美军推出“马赛克战”新理念 [J ] . 参考消息 ,2019-09-15.
Using artificial intelligence to fill gaps in capability,the us army introduces a new concept of “Mosaic warfare” [N ] . Reference news ,2019-09-15.
阳东升 , 姜军 , 王飞跃 . 从平台到体系:指挥对抗活动机理的演变及其PREA环对策 [J ] . 指挥与控制学报 , 2018 , 4 ( 4 ): 263 - 271 .
YANG D S , JIANG J , WANG F Y . From platforms to systems of systems:on mechanism evolution of command confrontation and its PREA loop [J ] . Journal of Command and Control , 2018 , 4 ( 4 ): 263 - 271 .
阳东升 , 张维明 . PREA环及其平行智能 [J ] . 指挥与控制学报 , 2019 , 5 ( 4 ): 274 - 281 .
YANG D S , ZHANG W M . PREA loop and its parallel intelligence [J ] . Journal of Command and Control , 2019 , 5 ( 4 ): 274 - 281 .
陶九阳 , 吴琳 , 胡晓峰 . AlphaGo 技术原理分析及人工智能军事应用展望 [J ] . 指挥与控制学报 , 2016 , 2 ( 2 ): 114 - 120 .
TAO J Y , WU L , HU X F . Principle analysis on AlphaGo and perspective in military application of artificial intelligence [J ] . Journal of Command and Control , 2016 , 2 ( 2 ): 114 - 120 .
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