MyPDDL: Tools for efficiently creating PDDL domains and problems
Not on the map. Why?
Abstract (arXiv)
The Planning Domain Definition Language (PDDL) is the state-of-the-art language for specifying planning problems in artificial intelligence research. Writing and maintaining these planning problems, however, can be time-consuming and error prone. To address this issue, we present myPDDL-a modular toolkit for developing and manipulating PDDL domains and problems. To evaluate myPDDL, we compare its features to existing knowledge engineering tools for PDDL. In a user test, we additionally assess two of its modules, namely the syntax highlighting feature and the type diagram generator. The users of syntax highlighting detected 36% more errors than non-users in an erroneous domain file. The average time on task for questions on a PDDL type hierarchy was reduced by 48% when making the type diagram generator available. This implies that myPDDL can support knowledge engineers well in the PDDL design and analysis process.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Aug 2020.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generationcited by 2
- 2025Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variantscited by 1
- 2026APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Constructioncited by 0
- 2026APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction13 Oct 2026
- 2025Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants15 Sep 2025
- 2025Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation7 Jun 2025