Abstract：The rapid development of artificial intelligence technology has led to the victory of AlphaGo Zero, making people see the hope of intelligent military command and control. However, battlefield is quite more complex than chess-board. Its method is di±cult to copy, as learning based methods may not solve the whole intelligent military command and control problem. Starting from problem complexity analysis, this paper attempts to decompose the problem into 6 sub-problems. Two kinds of mainstream artificial intelligence methods based on knowledge and learning are compared, and six sub-problems are analyzed respectively. The view point is proposed for debate and exploration.
引用本文:
金欣. 指挥控制智能化问题分解研究[J]. 指挥与控制学报, 2018, 4(1): 64-68.
JIN Xin. On Artificial Intelligence for Problem Decomposition of Command and Control. Journal of Command and Control, 2018, 4(1): 64-68.
2018, Vol. 4 
