On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

Authors

  • Songtuan Lin The Australian National University
  • Conny Olz Ulm University
  • Malte Helmert University of Basel
  • Pascal Bercher The Australian National University

DOI:

https://doi.org/10.1609/aaai.v38i18.30000

Keywords:

PRS: Deterministic Planning, PRS: Other Foundations of Planning, Routing & Scheduling

Abstract

In this paper we study the computational complexity of several reasoning tasks centered around the bounded plan existence problem. We do this for standard classical planning and hierarchical task network (HTN) planning and each for a grounded and a lifted representation. Whereas bounded plan existence complexity is known for classical planning, it has not yet been studied for HTN planning. For plan verification, results were available for both formalisms except for the lifted HTN planning. We will present lower and upper bounds of the complexity of plan verification in lifted HTN planning and provide novel insights into its grounded counterpart, in which we show that verification is not just NP-complete in the general case, but already for a severely restricted special case. Finally, we show the complexity concerning verifying the optimality of a given plan and discuss its connection to the bounded plan existence problem.

Published

2024-03-24

How to Cite

Lin, S., Olz, C., Helmert, M., & Bercher, P. (2024). On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence. Proceedings of the AAAI Conference on Artificial Intelligence, 38(18), 20203-20211. https://doi.org/10.1609/aaai.v38i18.30000

Issue

Section

AAAI Technical Track on Planning, Routing, and Scheduling