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动态贝叶斯网络在战略级兵棋中的应用

发表时间:2015-08-31  浏览量:1658  下载量:499
全部作者: 李荟铭,李德华
作者单位: 华中科技大学人工智能研究所
摘 要: 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(dynamicBayesian networks,DBN)。首先建立贝叶斯网络(Bayesian networks,BN)威胁评估模型,再考虑时间因素对信息进行积累,为降低复杂度使模型满足Markovian 特性、内部不变、平稳特性,最后构建出DBN 威胁评估模型。使用Netica 软件进行实验仿真,实验结果证明:相比BN,DBN 模型更有效可靠,适合战略级兵棋的威胁评估需求。
关 键 词: 信息科学与系统科学基础学科其他学科;态势威胁评估;动态贝叶斯网络;战略级兵棋
Title: Application of dynamic Bayesian networks in strategic-level wargame
Author: LI Huiming, LI Dehua
Organization: Institute of Artificial Intelligence, Huazhong University of Science and Technology
Abstract: Based on the demand of the international strategic-level wargame system, dynamic Bayesian networks (DBN) applied to situation and threat assessment were analyzed and established in this paper. Bayesian networks (BN) model of situation and threat assessment were constructed firstly, by adding the time factor to accumulate information and reducing the complexity of the networks to satisfy the Markovian property, internal invariant and stationarity, and then transformed into DBN. The Bayesian inference software Netica was used in the simulation experiments. Results show that DBN is more efficient and reliable for strategic-level wargame than BN.
Key words: other subjects of basic subject of information science and system science; situation and threat assessment; dynamic Bayesian networks; strategic-level wargame
发表期数: 2015年8月第16期
引用格式: 李荟铭,李德华. 动态贝叶斯网络在战略级兵棋中的应用[J]. 中国科技论文在线精品论文,2015,8(16):1744-1749.
 
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