Formal Representations of Classical Planning Domains


  • Claudia Grundke University of Basel, Switzerland
  • Gabriele Röger University of Basel, Switzerland
  • Malte Helmert University of Basel, Switzerland



Planning domains are an important notion, e.g. when it comes to restricting the input for generalized planning or learning approaches. However, domains as specified in PDDL cannot fully capture the intuitive understanding of a planning domain. We close this semantic gap and propose using PDDL axioms to characterize the (typically infinite) set of legal tasks of a domain. A minor extension makes it possible to express all properties that can be determined in polynomial time. We demonstrate the suitability of the approach on established domains from the International Planning Competition.




How to Cite

Grundke, C., Röger, G., & Helmert, M. (2024). Formal Representations of Classical Planning Domains. Proceedings of the International Conference on Automated Planning and Scheduling, 34(1), 239-248.