基于自治智能计算机生成兵力的反潜直升机模型设计与应用

Design and application of antisubmarine helicopter based on autonomous intelligent computer generated force model

随着反潜作战仿真领域对实体智能要求的不断提高,针对原有基于有限状态机的计算机生成兵力(CGF)模型难以表示CGF认知行为的问题,用知识获取与知识工程方法进行知识获取和分析,采用模糊规则推理方法进行行为决策,利用内外黑板相结合的模式实现实体间交互,并将上述方法集成,设计建立了智能仿真模型,最后生成了反潜直升机智能模型,将其应用于直升机反潜作战仿真实例中。通过航空反潜作战仿真表明,与原有CGF实体相比,智能反潜直升机实体对敌潜艇的捕获率大大提高,可以根据环境变化动态地调整策略,成功率及成功效能均有显著提高。

Along with the increasing requirement of intelligence in the antisubmarine simulation domain, it is hard to express the cognition action question of Computer Generated Force （CGF） by original method based on limited state machine model. The method of knowledge acquisition and knowledge engineering was used for knowledge acquisition and analysis, and the fuzzy rule inference technique was used for decision-making, internal and external blackboard model was used for interoperation. Using the devised techniques, an autonomous intelligent CGF model was designed. A helicopter prototype was constructed and applied in the aviation antisubmarine simulation warfare example, via compared with common CGF, intelligent CGF show its priority in intelligence, which can adjust the strategies based on the dynamic enviroment, highly raised enemy capture ratio, success ratio and success efficacy.