Science & Technology Review
|
2018, 36(12): 55-65
• Exclusive •
Cognitive simulation for complex system understanding and management
Full
TAO Jiuyang1,2, Wu Lin1, HU Xiaofeng1, HE Xiaoyuan1
Affiliations
1. Joint Operations College, National Defense University, Beijing 100091, China;
2. Command and Control Engineering College, Army Engineering University of PLA, Nanjing 210007, China
Published: 2018-06-28
doi: 10.3981/j.issn.1000-7857.2018.12.008
Outline
The rise and the development of the complexity science are reviewed. The concepts of the uncertainty, the adaptability and the emergence of the complex systems are analyzed, as well as the main research methods, and the source of difficulties in their understanding and control. The breakthroughs and the key technologies of the cognitive intelligence are summarized, together with the basic concepts of the cognitive simulation. Finally, the existing problems and shortcomings of the cognitive simulation are outlined.
cognitive simulation
/
deep reinforcement learning
/
complex systems
/
complexity
/
cognitive intelligence
陶九阳, 吴琳, 胡晓峰, 贺筱媛.
面向复杂系统理解与管控的认知仿真方法.
科技导报,
2018
, 36
(12)
: 55
-65
.
DOI: 10.3981/j.issn.1000-7857.2018.12.008
TAO Jiuyang, Wu Lin, HU Xiaofeng, HE Xiaoyuan.
Cognitive simulation for complex system understanding and management[J].
Science & Technology Review,
2018
, 36
(12)
: 55
-65
.
DOI: 10.3981/j.issn.1000-7857.2018.12.008
Year 2018 volume 36 Issue 12
PDF
498
76
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2018.12.008
- Receive Date:2018-04-03
- Online Date:2018-06-21
- Published:2018-06-28