Abstract modelling: towards a typed declarative language for the conceptual modelling phase

D. Legatiuk, H. Nilsson
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引用次数: 4

Abstract

The growing complexity of modern engineering tasks necessitates improved tool support for modelling, in particular tools allowing early detection of modelling errors. Broadly, there are two classes of modelling errors: (i) errors related to abstract modelling, e.g. conceptual errors concerning the coherence of a model as a whole, and (ii) errors related to concrete modelling, e.g. questions of approximation quality and implementation. Concrete modelling errors are relatively well understood, but abstract modelling errors less so. If, however, abstract modelling errors could be detected early, before concrete implementation starts, this would be very beneficial. Unfortunately, existing engineering tools, like current modelling languages, do not support modelling in the abstract well, leaving a gap in the engineering tool chain. To overcome this problem, this paper presents a first step towards a language supporting abstract modelling in mathematical physics with the aim of ensuring coherence of coupled multiphysics models early in the design process. To that end, following the approach of Functional Hybrid Modelling, we discuss how a language supporting quite general modelling equations can be realised as an embedding in Haskell. The appeal of the approach is that only few core concepts are needed, simplifying the semantics, and that much of the language infrastructure comes for free thanks to embedding.
抽象建模:面向概念建模阶段的类型化声明性语言
现代工程任务的日益复杂需要改进对建模的工具支持,特别是允许早期检测建模错误的工具。从广义上讲,有两类建模错误:(i)与抽象建模有关的错误,例如关于模型整体一致性的概念错误;(ii)与具体建模有关的错误,例如近似质量和实施问题。具体的建模错误相对容易理解,但抽象的建模错误不太容易理解。但是,如果能够在具体实现开始之前及早发现抽象建模错误,这将是非常有益的。不幸的是,现有的工程工具,如当前的建模语言,不能很好地支持抽象的建模,这在工程工具链中留下了空白。为了克服这个问题,本文提出了支持数学物理抽象建模的语言的第一步,目的是在设计过程的早期确保耦合多物理场模型的一致性。为此,遵循功能混合建模的方法,我们讨论了如何将支持相当通用的建模方程的语言作为嵌入在Haskell中实现。该方法的吸引力在于只需要很少的核心概念,简化了语义,并且由于嵌入,大部分语言基础结构都是免费的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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