On Using Action Inheritance and Modularity in PDDL Domain Modelling

Alan Lindsay*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The PDDL modelling problem is known to be challenging, time consuming and error prone. This has led researchers to investigate methods of supporting the modelling process. One particular avenue is to adapt tools and techniques that have proven useful in software engineering to support the modelling process. We observe that concepts, such as inheritance and modularity have not been fully explored in the context of modelling PDDL planning models. Within software engineering these concepts help to organise and provide structure to code, which can make it easier to read, debug, and reuse code. In this work we consider inheritance and modularity and their use in PDDL action descriptions, and how these can have a similar impact on the PDDL modelling process. We define an extension to PDDL and develop appropriate tools to compile models using these extensions, both directly from the command line and through the Visual Studio Code PDDL extension. We report on our use of inheritance and modularity when modelling a planning model for a companion robot scenario. We also discuss the benefits of exploiting the inheritance hierarchy in other modules within our robot system.

Original languageEnglish
Title of host publicationProceedings of the Thirty-Third International Conference on Automated Planning and Scheduling
Pages259-267
Number of pages9
Volume33
Edition1
DOIs
Publication statusPublished - 1 Jul 2023
Event33rd International Conference on Automated Planning and Scheduling 2023 - Prague, Czech Republic
Duration: 8 Jul 202313 Jul 2023

Conference

Conference33rd International Conference on Automated Planning and Scheduling 2023
Abbreviated titleICAPS 2023
Country/TerritoryCzech Republic
CityPrague
Period8/07/2313/07/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management

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