基于UML概要文件的认知建模的统一框架:开发与经验

Zhi Zhu, Yonglin Lei, Yifan Zhu, Abdurrahman Alshareef, H. Sarjoughian
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引用次数: 2

摘要

为了实现模型重用,认知决策行为通常使用与用于实现仿真模型的编程语言分离的脚本语言来实现。因此,有必要为认知建模建立一个更好的基础。在特定领域建模(Domain-Specific Modeling, DSM)的上下文中,从零开始设计这种脚本语言的元建模存在一些限制,其中包括集成由不同定制语言表示的各种模型的问题,以及设计、实现和维护这些语言及其支持资源的大量支出。相反,在本研究中采用了基于UML profile的元建模,作为捕获认知领域概念、关系和约束的轻量级扩展。此外,我们提出了一个统一的框架来设计特定领域的概要文件,该框架增加了认知领域规范的可表达性,减少了开发成本和时间。此外,我们通过构建反潜战术(AST)的概况来介绍发展过程,并通过演示武装护航场景的示例来说明它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Unifying Framework for UML Profile-based Cognitive Modeling: Development and Experience
To achieve model reuse, cognitive decision behaviors are usually implemented using a scripting language which is separate from the programming language used to implement simulation models. Therefore, it is desirable to establish a much better grounding for cognitive modeling. In the context of Domain-Specific Modeling (DSM), metamodeling from scratch for designing such a scripting language poses some limitations, among which is the issue of integrating various models that are represented by different customized languages, together with a large expenditure of designing, implementing, and maintaining these languages and their supporting resources. Instead, UML Profile-based metamodeling is adopted in this research, as a light weighted extension to capture the cognitive domain concepts, relationships, and constraints. Moreover, we propose a unifying framework for designing the domain specific profile where the expressiveness of cognitive domain specification is increased and the development cost and time decreased. Also, we present the development process by constructing a profile of Anti-Submarine Tactics (AST) and illustrate it by demonstrating an example with a scenario of armed escort.
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