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根据基于人工生命作战仿真方法的特点,在行为主义人工智能的基础上,提出一种基于目标驱动的具有内部状态的混合Agent结构。给出了该类Agent结构的框架及形式化描述,设计了影响Agent决策的个性权重向量,研究了该类Agent的适应算法;最后将该结构应用于基于人工生命的水面舰艇对海作战仿真中进行验证。结论:从仿真结果来看,证明了该结构的有效性,满足了仿真系统的要求,为研究定性因素对海战过程及结果的影响奠定了基础。
According to the characteristics of artificial life-based combat simulation method, based on the behavioral artificial intelligence, a target-driven hybrid agent architecture with internal states is proposed. The framework and formal description of this kind of Agent structure are given, and the individual weight vector which affects the decision of Agent is designed. The adaptive algorithm of this kind of Agent is studied. Finally, the structure is applied to simulation of surface warfare based on artificial life authenticating. Conclusion: From the simulation results, it is proved that the structure is effective and meets the requirements of the simulation system. It lays the foundation for studying the influence of qualitative factors on the process and result of naval battle.