论文标题
关于自动化计划引擎的域模型配置的重要性
On the Importance of Domain Model Configuration for Automated Planning Engines
论文作者
论文摘要
AI计划社区中独立于域的规划人员的开发正在导致“现成”技术，可用于广泛的应用程序。此外，它允许模块化方法 - 在哪些计划和域知识是较大软件应用程序的模块中，可以促进单个模块的替换或改进，而无需更改系统的其余部分。这种方法还支持重新制定和配置技术的使用，这些技术改变了模型的表示方式，以提高计划生成的效率。 在本文中，我们调查了独立于域的计划者的性能如何受域模型配置的影响，即，在模型中排序元素的顺序，尤其是根据计划者的比较。然后，我们介绍了域模型的在线和离线配置的技术，并分析了域模型配置对宏（例如宏）的影响。
The development of domain-independent planners within the AI Planning community is leading to "off-the-shelf" technology that can be used in a wide range of applications. Moreover, it allows a modular approach --in which planners and domain knowledge are modules of larger software applications-- that facilitates substitutions or improvements of individual modules without changing the rest of the system. This approach also supports the use of reformulation and configuration techniques, which transform how a model is represented in order to improve the efficiency of plan generation. In this article, we investigate how the performance of domain-independent planners is affected by domain model configuration, i.e., the order in which elements are ordered in the model, particularly in the light of planner comparisons. We then introduce techniques for the online and offline configuration of domain models, and we analyse the impact of domain model configuration on other reformulation approaches, such as macros.
