Propagation complete encodings of smooth DNNF theories

Autor:	Kučera, Petr, Savický, Petr
Rok vydání:	2019
Předmět:	Computer Science - Artificial Intelligence Computer Science - Logic in Computer Science 68T30 F.2.2
Druh dokumentu:	Working Paper
Popis:	We investigate conjunctive normal form (CNF) encodings of a function represented with a decomposable negation normal form (DNNF). Several encodings of DNNFs and decision diagrams were considered by (Abio et al. 2016). The authors differentiate between encodings which implement consistency or domain consistency by unit propagation from encodings which are unit refutation complete or propagation complete. The difference is that in the former case we do not care about propagation strength of the encoding with respect to the auxiliary variables while in the latter case we treat all variables (the main and the auxiliary ones) in the same way. The currently known encodings of DNNF theories implement domain consistency. Building on these encodings we generalize the result of (Abio et al. 2016) on a propagation complete encoding of decision diagrams and present a propagation complete encoding of a DNNF and its generalization for variables with finite domains. Comment: 38 pages, significant revision to improve readability, submitted to a journal
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1909.06673 Zobrazit plný text záznamu View this record from Arxiv