Planning is a pivotal ability of any intelligent system being developed for real-world applications. AI planning is concerned with researching and developing planning systems that automatically compute plans that satisfy some user objective. Identifying and understanding the relevant and realistic aspects that characterise real-world application domains are crucial to the development of AI planning systems. This provides guidance to knowledge engineers and software engineers in the process of designing, identifying, and categorising resources required for the development process. To the best of our knowledge, such support does not exist. We address this research gap by developing a conceptual framework that identifies and categorises the aspects of real-world planning domains in varying levels of granularity. Our framework provides not only a common terminology but also a comprehensive overview of a broad range of planning aspects exemplified using the domain of sustainable buildings as a prominent application domain of AI planning. The framework has the potential to impact the design, development, and applicability of AI planning systems in real-world application domains.

翻译：规划是任何为现实应用而开发的智能系统的关键能力。人工智能规划致力于研究并开发能够自动计算满足用户目标的规划的规划系统。识别并理解表征现实应用领域的相关且真实的方面，对于人工智能规划系统的开发至关重要。这为知识工程师和软件工程师在设计、识别和分类开发过程中所需资源的过程提供了指导。据我们所知，目前尚不存在此类支持。我们通过开发一个概念框架来填补这一研究空白，该框架以不同粒度级别识别并分类现实世界规划领域的各个方面。我们的框架不仅提供了通用术语，还全面概述了广泛的规划方面，并以可持续建筑领域作为人工智能规划的一个突出应用领域进行了实例说明。该框架有可能影响人工智能规划系统在现实应用领域中的设计、开发和适用性。