Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans

Auteurs-es

DOI :

https://doi.org/10.32473/flairs.36.133196

Mots-clés :

hierarchical planning, parsing, hierarchical plan verification, plan verification

Résumé

Verification of hierarchical plans deals with the problem of whether an action sequence is causally consistent and can be obtained by a decomposition of a goal task. This second sub-problem (finding the decomposition) makes the verification problem NP-hard. The task decomposition structure is very close to a parsing tree of context-free grammar (CFG). Recently, the CFG-parsing algorithm by Cocke–Younger–Kasami (CYK) has been modified to verify hierarchical plans efficiently. Despite being fast, the algorithm can only handle totally-ordered planning domains. In this paper, we ask whether the ideas from the CYK algorithm can be extended to a more general parsing-based approach that covers all planning domains, i.e., including partially ordered ones. More specifically, we study the effect of modifying the domain model by limiting the number of sub-tasks in decomposition methods to two and the effect of changing the parsing strategy.

Téléchargements

Publié-e

2023-05-08

Comment citer

Ondrčková, S., Barták, R., Bercher, P., & Behnke, G. (2023). Lessons Learned from the CYK Algorithm for Parsing-based Verification of Hierarchical Plans. The International FLAIRS Conference Proceedings, 36(1). https://doi.org/10.32473/flairs.36.133196

Numéro

Rubrique

Special Track: Semantic, Logics, Information Extraction and AI