2020/10/15 by Mauro Vallati, Vallati, Mauro, Lukáš Chrpa +5 · 1 citation
Computer Science · #Advanced Software Engineering Methodologies #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Model-Driven Software Engineering Techniques #Service-Oriented Architecture and Web Services
paper · pdf · doi:10.48550/arxiv.2010.07710
openalex publication_date 2020/10/15 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
The development of domain-independent planners within the AI Planning\ncommunity is leading to "off-the-shelf" technology that can be used in a wide\nrange of applications. Moreover, it allows a modular approach --in which\nplanners and domain knowledge are modules of larger software applications--\nthat facilitates substitutions or improvements of individual modules without\nchanging the rest of the system. This approach also supports the use of\nreformulation and configuration techniques, which transform how a model is\nrepresented in order to improve the efficiency of plan generation.\n In this article, we investigate how the performance of domain-independent\nplanners is affected by domain model configuration, i.e., the order in which\nelements are ordered in the model, particularly in the light of planner\ncomparisons. We then introduce techniques for the online and offline\nconfiguration of domain models, and we analyse the impact of domain model\nconfiguration on other reformulation approaches, such as macros.\n