动态贝叶斯网络在战略级兵棋中的应用
pplication of dynamic Bayesian networks in Strategic Wargame
基于国际战略级兵棋推演系统的需求，分析和建立了应用于威胁等级评估的动态贝叶斯网络。首先建立贝叶斯网络的威胁评估模型，再考虑时间因素，对信息进行积累，为降低复杂度让模型满足Markovian特性、内部不变、平稳特性，最后构建出动态贝叶斯网络的威胁评估模型。使用Netica软件进行实验仿真，实验结果证明动态贝叶斯网络模型更有效可靠，适合战略级兵棋的威胁评估需求。
dynamic Bayesian networks (DBN) model of Situation and Threat Assessment (STA) for International Strategic wargame system is proposed in this paper. Bayesian networks model of STA is constructed first, add the time factor to accumulate information and reduce the complexity of the networks by satisfied the Markovian property and stationarity, so BN transform to DBN . The Bayesian inferencing soft Netica was used in the experiments. Experiment results show that DBN is more efficiently and reliably for Strategic wargame than BN.
李德华、李荟铭
战略、战役、战术军事技术自动化技术、自动化技术设备
态势威胁评估动态贝叶斯网络战略级兵棋
dynamic Bayesian networksSituation and Threat AssessmentStrategic wargame
李德华,李荟铭.动态贝叶斯网络在战略级兵棋中的应用[EB/OL].(2015-05-05)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201505-34.点此复制
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