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A model framework-based domain-specific composable modeling method for combat system effectiveness simulation

机译:基于模型框架的领域专用可组合建模方法

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摘要

Combat system effectiveness simulation (CoSES) plays an irreplaceable role in the effectiveness measurement of combat systems. According to decades of research and practice, composable modeling and multidomain modeling are recognized as two major modeling requirements in CoSES. Current effectiveness simulation researches attempt to cope with the structural and behavioral complexity of CoSES based on a unified technological space, and they are limited to their existing modeling paradigms and fail to meet these two requirements. In this work, we propose a model framework-based domain-specific composable modeling method to solve this problem. This method builds a common model framework using application invariant knowledge for CoSES, and designs domain-specific modeling infrastructures for subdomains as corresponding extension points of the framework to support the modeling of application variant knowledge. Therefore, this method supports domain-specific modeling in multiple subdomains and the composition of subsystem models across different subdomains based on the model framework. The case study shows that this method raises the modeling abstraction level, supports generative modeling, and promotes model reuse and composability.
机译:战斗系统效能模拟(CoSES)在战斗系统效能评估中扮演着不可替代的角色。根据数十年的研究和实践,可组合建模和多域建模被视为CoSES中的两个主要建模要求。当前的有效性仿真研究试图基于统一的技术空间来应对CoSES的结构和行为复杂性,并且仅限于其现有的建模范式,无法满足这两个要求。在这项工作中,我们提出了一种基于模型框架的领域特定的可组合建模方法来解决此问题。此方法使用针对CoSES的应用程序不变知识构建通用模型框架,并针对子域设计特定于域的建模基础结构,作为框架的相应扩展点,以支持应用程序变体知识的建模。因此,此方法支持在多个子域中进行领域特定的建模,并支持基于模型框架跨不同子域的子系统模型的组合。案例研究表明,该方法提高了建模抽象水平,支持生成建模,并提高了模型重用性和可组合性。

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