基于贝叶斯网络的潜艇攻击决策研究  

Research on Submarine Attack Decision based on Bayesian Network

作　　者：杜毅[1] 黄文斌[1] 彭汉国[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《火力与指挥控制》2009年第S1期37-40,共4页Fire Control & Command Control

摘　　要：BN(贝叶斯网)被认为是人工智能研究中不确定性知识表示和推理的重要工具,广泛应用到复杂系统的建模等领域。贝叶斯网络高效的推理算法非常适合解决不确定性军事决策问题,分析了潜艇攻击决策问题的复杂性和不确定性,提出了构建贝叶斯网络进行攻击决策的步骤,通过具体实例,对用贝叶斯网络推理解决潜艇攻击决策问题进行了初步探讨。BN(Bayesian Network) is considered an important tool for uncertain knowledge representation and inference in the course of researching artificial intelligence and applied to complex system modeling etc.The efficiently inference arithmetic of BN is very suitable for solving the uncertain martial question of decision.Complexity and uncertainty of the Submarine Attack Decision is analyzed in this paper.The steps on construct a Bayesian networks for the integrated decision were presented.Finally,the process of how to use the Bayesian network for the Submarine Attack Decision systems was showed by an example.

关 键 词：贝叶斯网络 潜艇攻击决策 命中概率 

分 类 号：U674.7[交通运输工程—船舶及航道工程] TP183[交通运输工程—船舶与海洋工程]