Research on Combat Deduction Platform Technology for Intelligent Operational Decision

被引:1
|
作者
Liao, Xin [1 ,2 ]
Sun, Zheng-hao [1 ,2 ]
机构
[1] China Aerosp Sci & Technol Corp, Aerosp Syst Dev Res Ctr, Beijing 100094, Peoples R China
[2] China Acad Launch Vehicle Technol, R&D Ctr, Beijing 100076, Peoples R China
来源
PROCEEDINGS OF 2019 CHINESE INTELLIGENT AUTOMATION CONFERENCE | 2020年 / 586卷
关键词
Artificial intelligence; Assistant decision-making; Combat deduction;
D O I
10.1007/978-981-32-9050-1_1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Artificial intelligence technology is expected to become a powerful force to promote the evolution of war patterns in the future. AI technology has the ability to use data fusion for rapid decision-making, and will become a key supporting technology for operational command. This paper analyzes the relation between military and intelligent decision-making, analyzes the structural characteristics of combat problems according to the requirements of command decision-making learning and training of artificial intelligence, proposes a design idea of antagonistic deduction platform, and explains the key problems in its architecture design, as well as the data exchange method between platform and intelligent learning methods. Finally, the system implementation and technical verification are carried out in a small area denial scenario. The platform supports the access to intelligent command program based on autonomous game decision net, can run real-time intelligent confrontation under asymmetric information, and provides intelligent opponent and benchmark for combat command training.
引用
收藏
页码:1 / 13
页数:13
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