摘要: 结合基于认知主导决策(RPD)的海战仿真作战实体决策模型,借鉴复合Agent思想,将RPD模型的不同功能模块实现为简单的子Agent,构造基于复合Agent的RPD决策模型。对模型中各子Agent的功能及经验知识表示方法进行说明,给出子Agent的结构。应用结果表明,相比基于规则的决策模型,该模型能更好地模拟作战实体的决策行为,具有较好的灵活性和可变性。
关键词:
海军战术仿真,
决策模型,
认知主导决策,
复合Agent
Abstract: This paper combines navy simulation warfare entity decision-making model based on Recognition-Primed Decision-making(RPD), references composite Agent idea. It takes different function module of RPD model into simple sub-Agent, constructs RPD decision-making model based on composite Agent. It gives clearly explanation to the functions of sub-Agent and expressions of empirical knowledge, and clarifies the structures of sub-Agent. Application results show that this model can well simulate decision-making behavior of warfare entity, it has definite flexibility and variability.
Key words:
navy tactical simulation,
decision-making model,
Recognition-Primed Decision-making(RPD),
composite Agent
中图分类号:
吴扬波, 贾全, 朱一凡. 基于复合Agent的RPD决策模型[J]. 计算机工程, 2010, 36(11): 288-290.
TUN Yang-Bei, GU Quan, SHU Yi-Fan. RPD Decision-making Model Based on Composite Agent[J]. Computer Engineering, 2010, 36(11): 288-290.