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Main Authors: Edelkamp, Stefan, Fink, Jiří, Gregor, Petr, Jonsson, Anders, Nebel, Bernhard
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.08708
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author Edelkamp, Stefan
Fink, Jiří
Gregor, Petr
Jonsson, Anders
Nebel, Bernhard
author_facet Edelkamp, Stefan
Fink, Jiří
Gregor, Petr
Jonsson, Anders
Nebel, Bernhard
contents This paper is based on Bylander's results on the computational complexity of propositional STRIPS planning. He showed that when only ground literals are permitted, determining plan existence is PSPACE-complete even if operators are limited to two preconditions and two postconditions. While NP-hardness is settled, it is unknown whether propositional STRIPS with operators that only have one precondition and one effect is NP-complete. We shed light on the question whether this small solution hypothesis for STRIPS$^1_1$ is true, calling a SAT solver for small instances, introducing the literal graph, and mapping it to Petri nets.
format Preprint
id arxiv_https___arxiv_org_abs_2602_08708
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Intermediate Results on the Complexity of STRIPS$_{1}^{1}$
Edelkamp, Stefan
Fink, Jiří
Gregor, Petr
Jonsson, Anders
Nebel, Bernhard
Artificial Intelligence
This paper is based on Bylander's results on the computational complexity of propositional STRIPS planning. He showed that when only ground literals are permitted, determining plan existence is PSPACE-complete even if operators are limited to two preconditions and two postconditions. While NP-hardness is settled, it is unknown whether propositional STRIPS with operators that only have one precondition and one effect is NP-complete. We shed light on the question whether this small solution hypothesis for STRIPS$^1_1$ is true, calling a SAT solver for small instances, introducing the literal graph, and mapping it to Petri nets.
title Intermediate Results on the Complexity of STRIPS$_{1}^{1}$
topic Artificial Intelligence
url https://arxiv.org/abs/2602.08708