Compiling HTN Plan Verification Problems into HTN Planning Problems

Open Access
Authors
  • D. Höller
  • J. Wichlacz
  • P. Bercher
  • G. Behnke ORCID logo
Publication date 2022
Host editors
  • A. Kumar
  • S. Thiébaux
  • P. Varakantham
  • W. Yeoh
Book title Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling
Book subtitle June 13-24, 2022, virtual conference
ISBN (electronic)
  • 9781577358749
Series ICAPS
Event ICAPS 2022
Pages (from-to) 145-150
Number of pages 6
Publisher Palo Alto, California: AAAI Press
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Plan Verification is the task of deciding whether a sequence of actions is a solution for a given planning problem. In HTN planning, the task is computationally expensive and may be up to NP-hard. However, there are situations where it needs to be solved, e.g. when a solution is post-processed, in systems using approximation, or just to validate whether a planning system works correctly (e.g. for debugging or in a competition). There are verification systems based on translations to propositional logic and on techniques from parsing. Here we present a third approach and translate HTN plan verification problems into HTN planning problems. These can be solved using any HTN planning system. We collected a new benchmark set based on models and results of the 2020 International Planning Competition. Our evaluation shows that our compilation outperforms the approaches from the literature.
Document type Conference contribution
Language English
Published at https://doi.org/10.1609/icaps.v32i1.19795
Downloads
19795-Article Text-23808-1-2-20220613 (Final published version)
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