AIDDL: The AI Domain Definition Language for integrated AI systems

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-07-23 DOI:10.1016/j.softx.2025.102259

Uwe Köckemann

引用次数: 0

Abstract

Practical applications of artificial intelligence frequently benefit from the strengths of multiple individual AI approaches. However, these approaches use different representations for data and models and thus are often difficult to combine. To address this gap we created the AI Domain Definition Language (AIDDL) language and framework. The language allows to express AI models, data, and problems, as well as intermediate representations tailored to specific applications. The framework, on the other hand, allows us to define translations between models and data and offers a variety of solver for AI problems. As a result, the AIDDL framework allows to build integrated AI systems tailored to complex problems and composed of well understood and studied AI algorithms.

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AIDDL：用于集成AI系统的AI领域定义语言

人工智能的实际应用经常受益于多个单独的人工智能方法的优势。然而，这些方法对数据和模型使用不同的表示，因此通常难以组合。为了解决这个问题，我们创建了AI领域定义语言（AIDDL）语言和框架。该语言允许表达AI模型、数据和问题，以及为特定应用量身定制的中间表示。另一方面，该框架允许我们定义模型和数据之间的转换，并为人工智能问题提供各种解决方案。因此，AIDDL框架允许构建针对复杂问题的集成人工智能系统，并由充分理解和研究的人工智能算法组成。

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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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.