舰艇智能兵力决策CBPN模型与实现研究  

Research on CBPN Modals and Realization of Computer Generated Warship Decision-Making

作　　者：刘剑[1] 黄文斌[1] 薛昌友[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《计算机仿真》2013年第5期23-26,67,共5页Computer Simulation

摘　　要：智能兵力作战决策支持是计算机生成兵力构建的重难点和核心内容,传统海战智能兵力作战决策系统难以满足决策知识空间增加对系统决策正确性和灵活性的要求,研究将Petri网建模方法与CXBR上下文推理方法相结合,提出了智能兵力CBPN图形化决策建模方法,依据舰艇智能兵力作战决策过程,分层构造了舰艇智能兵力作战行为模型,并建立了舰艇智能兵力决策支持的CBPN模型,实现了业务层和软件代码层解耦,最后构建了舰艇智能兵力的作战决策知识库。工程实现结果证明新方法能显著提高系统开发效率和智能兵力决策的灵活性,满足复杂作战仿真系统智能兵力作战决策支持需求。Aim at the existent question of developing the warship Computer Generated Forces decision-making system as lack of maintenance and flexibility, we brought forward a method for designing the system based on CBPN （ Context based Petri Net）. After analyzing the course of warship batter operation and compartmentalizing the behavior modal, we built the CBPN modal of warship battle decision-making, and constructed the knowledge- base of the force. Moreover, a decision-making system was completed and the result shows that the method can enhance the effi- ciency and deduce the complicity of maintenance of system.

关 键 词：上下文佩特里网模型 上下文 佩特里网 作战决策 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]