HDDL -- A Language to Describe Hierarchical Planning Problems
This addresses a standardization problem for researchers and developers in AI planning, but it is incremental as it builds on existing PDDL.
The paper tackles the lack of a common input language for hierarchical planning systems, which hinders comparison and integration, by proposing HDDL, an extension of PDDL tailored to hierarchical planning with a basic feature set shared by many systems.
The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but are supposed to be domain-independent systems that come with sophisticated solving techniques. In principle, this development would make the comparison between systems easier (because the domains are not tailored to a single system anymore) and -- much more important -- also the integration into other systems, because the modeling process is less tedious (due to the lack of advice) and there is no (or less) commitment to a certain planning system the model is created for. However, these advantages are destroyed by the lack of a common input language and feature set supported by the different systems. In this paper, we propose an extension to PDDL, the description language used in non-hierarchical planning, to the needs of hierarchical planning systems. We restrict our language to a basic feature set shared by many recent systems, give an extension of PDDL's EBNF syntax definition, and discuss our extensions with respect to several planner-specific input languages from related work.