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Domain-specific decision modelling and statistical analysis for combat system effectiveness simulation

机译：用于作战系统效能仿真的特定领域决策建模和统计分析

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摘要

Combat system effectiveness simulation (CoSES) needs to model both the physical aspect (i.e. physics modelling) and intelligent aspect (i.e. decision modelling) of combat systems. Combat platform decision-making has several characteristics such as cognition, diversity, agility, uncertainty and higher abstraction level, which bring tough challenges for decision model design, implementation and optimization. In this paper, we propose a domain-specific modelling approach which develops friendly modelling environments for model design, we design code generation mechanisms to transform domain-specific decision models to Python code which is supported by a Python script framework to implement decision models and we present a Bayesian network-based statistical analysis method on simulation output data to optimize the decision model. The case study shows that the proposed modelling and optimization approach effectively supports CoSES with decision models of higher efficiency and increased effectiveness.
机译：战斗系统效能模拟（CoSES）需要对战斗系统的物理方面（即物理模型）和智能方面（即决策模型）进行建模。作战平台决策具有认知，多样性，敏捷性，不确定性和更高的抽象水平等多个特征，这给决策模型的设计，实现和优化带来了严峻的挑战。在本文中，我们提出了一种领域特定的建模方法，该方法为模型设计开发了友好的建模环境，我们设计了代码生成机制，以将领域特定的决策模型转换为Python代码，并由Python脚本框架支持以实现决策模型，在仿真输出数据上提出了一种基于贝叶斯网络的统计分析方法，以优化决策模型。案例研究表明，所提出的建模和优化方法以更高效率和更高有效性的决策模型有效地支持了CoSES。

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  • 来源
    《Journal of statistical computation and simulation》 |2014年第6期|1261-1279|共19页
  • 作者

    Xiaobo Li; Yonglin Lei; Hans Vangheluwe; Weiping Wang; Qun Li;

  • 作者单位

    Institute of Simulation Engineering, National University of Defence Technology, Changsha 410073, People's Republic of China,Department of Mathematics and Computer Science, University of Antwerp, Antwerp 2020, Belgium;

    Institute of Simulation Engineering, National University of Defence Technology, Changsha 410073, People's Republic of China;

    Department of Mathematics and Computer Science, University of Antwerp, Antwerp 2020, Belgium;

    Institute of Simulation Engineering, National University of Defence Technology, Changsha 410073, People's Republic of China;

    Institute of Simulation Engineering, National University of Defence Technology, Changsha 410073, People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    decision modelling; domain-specific modelling; effectiveness simulation; Bayesian networks; parameter estimation; Bayesian analysis;

    机译：决策模型;领域特定的建模;效果模拟;贝叶斯网络;参数估计;贝叶斯分析;

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