MyPDDL: Tools for efficiently creating PDDL domains and problems
| Autor: | Strobel, Volker, Kirsch, Alexandra |
|---|---|
| Rok vydání: | 2020 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1007/978-3-030-38561-3_4 |
| Popis: | 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. Comment: In: Vallati M., Kitchin D. (eds) Knowledge Engineering Tools and Techniques for AI Planning. Springer, Cham (2020). arXiv admin note: text overlap with arXiv:1511.07500 |
| Databáze: | arXiv |
| Externí odkaz: |
|