English
Related papers

Related papers: Connecting Width and Structure in Knowledge Compil…

200 papers

The field of knowledge compilation establishes the tractability of many tasks by studying how to compile them to Boolean circuit classes obeying some requirements such as structuredness, decomposability, and determinism. However, in other…

Databases · Computer Science 2022-01-20 Antoine Amarilli , Florent Capelli , Mikaël Monet , Pierre Senellart

We generalize many results concerning the tractability of SAT and #SAT on bounded treewidth CNF-formula in the context of Quantified Boolean Formulas (QBF). To this end, we start by studying the notion of width for OBDD and observe that the…

Computational Complexity · Computer Science 2018-07-12 Florent Capelli , Stefan Mengel

We show unconditional parameterized lower bounds in the area of knowledge compilation, more specifically on the size of circuits in decomposable negation normal form (DNNF) that encode CNF-formulas restricted by several graph width…

Artificial Intelligence · Computer Science 2016-04-25 Stefan Mengel

The evaluation of a query over a probabilistic database boils down to computing the probability of a suitable Boolean function, the lineage of the query over the database. The method of query compilation approaches the task in two stages:…

Logic in Computer Science · Computer Science 2017-01-18 Simone Bova , Stefan Szeider

Circuits in deterministic decomposable negation normal form (d-DNNF) are representations of Boolean functions that enable linear-time model counting. This paper strengthens our theoretical knowledge of what classes of functions can be…

Computational Complexity · Computer Science 2025-02-04 Alexis de Colnet , Stefan Szeider , Tianwei Zhang

Decision \textsc{dnnf} (a.k.a. $\wedge_d$-\textsc{fbdd}) is an important special case of Decomposable Negation Normal Form (\textsc{dnnf}), a landmark knowledge compilation model. Like other known \textsc{dnnf} restrictions, Decision…

Computational Complexity · Computer Science 2026-03-06 Andrea Calí , Igor Razgon

We give a non-FPT lower bound on the size of structured decision DNNF and OBDD with decomposable AND-nodes representing CNF-formulas of bounded incidence treewidth. Both models are known to be of FPT size for CNFs of bounded primal…

Artificial Intelligence · Computer Science 2017-08-28 Andrea Calì , Florent Capelli , Igor Razgon

Bottom-up knowledge compilation is a paradigm for generating representations of functions by iteratively conjoining constraints using a so-called apply function. When the input is not efficiently compilable into a language - generally a…

Computational Complexity · Computer Science 2021-12-24 Alexis de Colnet , Stefan Mengel

We introduce Tree Decision Diagrams (TDD) as a model for Boolean functions that generalizes OBDD. They can be seen as a restriction of structured d-DNNF; that is, d-DNNF that respect a vtree $T$. We show that TDDs enjoy the same…

Artificial Intelligence · Computer Science 2026-04-08 Florent Capelli , YooJung Choi , Stefan Mengel , Martín Muñoz , Guy Van den Broeck

In this paper we show that a CNF cannot be compiled into an Ordered Binary Decision Diagram (OBDD) of fixed-parameter size parameterized by the primal graph treewidth of the CNF. Thus we provide a parameterized separation between OBDDs and…

Logic in Computer Science · Computer Science 2014-07-31 Igor Razgon

In this paper we study complexity of an extension of ordered binary decision diagrams (OBDDs) called $c$-OBDDs on CNFs of bounded (primal graph) treewidth. In particular, we show that for each $k$ there is a class of CNFs of treewidth $k…

Computational Complexity · Computer Science 2015-10-13 Igor Razgon

A common theme in factorised databases and knowledge compilation is the representation of solution sets in a useful yet succinct data structure. In this paper, we study the representation of the result of join queries (or, equivalently, the…

Databases · Computer Science 2025-09-25 Christoph Berkholz , Harry Vinall-Smeeth

Knowledge compilation studies the trade-off between succinctness and efficiency of different representation languages. For many languages, there are known strong lower bounds on the representation size, but recent work shows that, for some…

Artificial Intelligence · Computer Science 2020-11-30 Alexis de Colnet , Stefan Mengel

We show new limits on the efficiency of using current techniques to make exact probabilistic inference for large classes of natural problems. In particular we show new lower bounds on knowledge compilation to SDD and DNNF forms. We give…

Artificial Intelligence · Computer Science 2015-08-20 Paul Beame , Vincent Liew

Decomposable Negation Normal Forms \textsc{dnnf} [Darwiche, 'Decomposable Negation Normal Form', JACM, 2001] is a landmark Knowledge Compilation (\textsc{kc}) model, highly important both in \textsc{ai} and Theoretical Computer Science.…

Computational Complexity · Computer Science 2025-06-11 Igor Razgon

We study the problem of enumerating the satisfying valuations of a circuit while bounding the delay, i.e., the time needed to compute each successive valuation. We focus on the class of structured d-DNNF circuits originally introduced in…

Data Structures and Algorithms · Computer Science 2019-08-28 Antoine Amarilli , Pierre Bourhis , Louis Jachiet , Stefan Mengel

Structured $d$-DNNFs and SDDs are restricted negation normal form circuits used in knowledge compilation as target languages into which propositional theories are compiled. Structuredness is imposed by so-called vtrees. By definition SDDs…

Computational Complexity · Computer Science 2020-01-08 Beate Bollig , Martin Farenholtz

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…

Databases · Computer Science 2024-01-23 Antoine Amarilli , Pierre Bourhis , Florent Capelli , Mikaël Monet

Since their introduction by Atserias, Kolaitis, and Vardi in 2004, proof systems where each line is represented by an ordered binary decision diagram (OBDD) have been intensively studied as they allow to compactly represent Boolean…

Computational Complexity · Computer Science 2026-05-13 Matthäus Micun , Christoph Berkholz

Knowledge compilation transforms logical theories into circuit representations that support efficient reasoning. We study this problem for propositional groundings of FO2, the two-variable fragment of first-order logic over finite domains.…

Logic in Computer Science · Computer Science 2026-05-13 Qiaolan Meng , Juhua Pu , Hongting Niu , Yuyi Wang , Yuanhong Wang , Ondřej Kuželka
‹ Prev 1 2 3 10 Next ›