通用型CGF系统中推理决策模型的研究

Research on the Decision-making Modeling in Computer Generated Forces System

为了使计算机生成兵力(CGF)实体在仿真环境中具有智能,人工智能技术被广泛的采用。在设计通用型CGF系统推理决策模型的过程中,使用了产生式系统来实现作战任务阶段的决策,使用了模糊理论来实现敌方实体威胁程度的决策,使用了人工神经元网络来实现武器开火的决策。这些人工智能技术在舰艇兵力模型设计中的应用表明,它们能够有效的提高仿真实体的智能水平。

To make the CGF entities in the simulation environment possess intelligence, artificial intelligence techniques were widely used. In the process of implementing the decision-making in CGF system, production system was adopted to model the decision-making of fighting phase selection, and fuzzy theory was utilized to model the decision-making of the enemy entities threat, and artificial neural network was used to model the decision-making of firing. The application of these methods in designing the navy force of computer generated forces system shows that they are effective to promote the simulation entities intelligence.