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| AlphaGo的突破与兵棋推演的挑战 | |
| 引用本文： | 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(北京), 2017, 35(21): 49-60. DOI: 10.3981/j.issn.1000-7857.2017.21.006 |
| 作者姓名： | 胡晓峰 贺筱媛 陶九阳 |
| 作者单位： | 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 |
| 基金项目： | 军民共用重大研究计划联合基金项目（U1435218）;国家自然科学基金项目（61174156,61273189,61174035,61374179,61403400,61403401） |
| 摘 要： | 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。 |
| 关 键 词： | AlphaGo 深度学习 兵棋推演 态势认知 |
| 收稿时间： | 2016-09-06 |
AlphaGo's breakthrough and challenges of wargaming |
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| 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 | |
| Authors: | HU Xiaofeng HE Xiaoyuan TAO Jiuyang |
| Affiliation: | 1. Department of Information Operation & Command Training, National Defense University, Beijing 100091, China; 2. College of Command Information Systems, Army Engineering University, Nanjing 210007, China |
| Abstract: | 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. |
| Keywords: | AlphaGo deep learning wargaming situation awareness |
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