基于Agent的空袭目标流的反应行为模型

采用Agent体系结构表达空袭实体，引入了集成范例学习和推理及规则推理的综合决策机制，有效地解决了结构化经验知识和规则之间的矛盾。提出不确定性的区间数运算规则、含元级知识的冲突解决和分层搜索策略，在保证最佳对抗策略的同时提高了实体的反应速度。构建空袭目标流的反应行为模型，使生成的空袭目标流具有一定的智能，能够较为逼真地模拟实际空情，弥补以往目标流生成器的不足。

Response Behavior Model of Air-attack Stream Based on Agent

Behavior model of air-attack stream adopts frame structure of Agent and the measure of synthesize CBR and RBR technology,resolves the representation and proceedings of Air-attack field knowledge.To perfect the responses behavior model,this paper puts forward the operation rules of indeterminacy based on inter-zone number,conflict resolution and search strategy.The air-attack model indicates the advantages of behavior modeling,and creates air-attack stream to represent intelligence and simulate actual responses of air pilots perfectly.