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科技导报
| 研究论文 2017, 35(21): 49-60
AlphaGo的突破与兵棋推演的挑战
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胡晓峰1 , 贺筱媛1 , 陶九阳1,2
作者信息
1. 国防大学信息作战与指挥训练教研部, 北京 100091;
2. 陆军工程大学指挥信息系统学院, 南京 210007
AlphaGo's breakthrough and challenges of wargaming
Affiliations
出版时间: 2017-11-13
doi: 10.3981/j.issn.1000-7857.2017.21.006
文章导航
概述了AlphaGo的原理、方法创新、技术突破和在认识论上的意义。分析了兵棋推演面临的瓶颈,指出了作战智能态势认知是亟需突破的关键环节。提出了解决作战态势智能认知的实现途径。展望了"人机智能"为兵棋推演带来的新机遇。
AlphaGo
/
深度学习
/
兵棋推演
/
态势认知
This paper summarizes the principles, new methods, technological breakthrough, and the epistemological sense of AlphaGo. Then the bottleneck of intelligent wargaming is analyzed, and the significance of intelligent situation awareness in wargaming is addressed. Next, the way to realize situation awareness in operations is proposed. Finally, new challenges of man-machine intelligence for wargaming are discussed.
AlphaGo
/
deep learning
/
wargaming
/
situation awareness
胡晓峰, 贺筱媛, 陶九阳.
AlphaGo的突破与兵棋推演的挑战.
科技导报,
2017
, 35
(21)
: 49
-60
.
DOI: 10.3981/j.issn.1000-7857.2017.21.006
HU Xiaofeng, HE Xiaoyuan, TAO Jiuyang.
AlphaGo's breakthrough and challenges of wargaming[J].
Science & Technology Review ,
2017
, 35
(21)
: 49
-60
.
DOI: 10.3981/j.issn.1000-7857.2017.21.006
2017年第35卷第21期
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2017.21.006
接收时间:2016-09-06
首发时间:2017-11-16
出版时间:2017-11-13
收稿日期:2016-09-06
修回日期:2017-06-18
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2017.21.006
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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