Ranked Enumeration for MSO on Trees via Knowledge Compilation - Inria - Institut national de recherche en sciences et technologies du numérique
Pré-Publication, Document De Travail Année : 2023

Ranked Enumeration for MSO on Trees via Knowledge Compilation

Résumé

We study the problem of enumerating the satisfying assignments for circuit classes from knowledge compilation, where assignments are ranked in a specific order. In particular, we show how this problem can be used to efficiently perform ranked enumeration of the answers to MSO queries over trees, with the order being given by a ranking function satisfying a subset-monotonicity property. Assuming that the number of variables is constant, we show that we can enumerate the satisfying assignments in ranked order for so-called multivalued circuits that are smooth, decomposable, and in negation normal form (smooth multivalued DNNF). There is no preprocessing and the enumeration delay is linear in the size of the circuit times the number of values, plus a logarithmic term in the number of assignments produced so far. If we further assume that the circuit is deterministic (smooth multivalued d-DNNF), we can achieve linear-time preprocessing in the circuit, and the delay only features the logarithmic term.
Fichier principal
Vignette du fichier
2310.00731.pdf (922.46 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04377344 , version 1 (07-01-2024)
hal-04377344 , version 2 (06-06-2024)

Licence

Identifiants

Citer

Antoine Amarilli, Pierre Bourhis, Florent Capelli, Mikaël Monet. Ranked Enumeration for MSO on Trees via Knowledge Compilation. 2023. ⟨hal-04377344v1⟩
797 Consultations
87 Téléchargements

Altmetric

Partager

More