Research on Command Decision Support System AI Problem Decomposition

摘要

The rapid development of Artificial Intelligence technology has led to the victory of AlphaGo, making people see the hope of intelligent military command decision support system. However, battlefield is quite complex, while chessboard is significantly abstracted. It is impossible to copy its method directly, as machine learning from observations directly to orders, or from orders directly to results is too difficult. This paper attempts to decompose the problem of intelligent command decision support system into more specific problems, and analyze which type of AI methods suit which problems, through the local technology breakthrough to achieve the overall level of intelligence to enhance, with a certain guiding significance to development of intelligent command decision support system.