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There are various approaches to exploiting "hidden structure" in instances of hard combinatorial problems to allow faster algorithms than for general unstructured or random instances. For SAT and its counting version #SAT, hidden structure…

Data Structures and Algorithms · Computer Science 2012-04-30 Serge Gaspers , Stefan Szeider

A backdoor set is a set of variables of a propositional formula such that fixing the truth values of the variables in the backdoor set moves the formula into some polynomial-time decidable class. If we know a small backdoor set we can…

Data Structures and Algorithms · Computer Science 2011-11-01 Serge Gaspers , Stefan Szeider

A strong backdoor in a formula $\phi$ of propositional logic to a tractable class $\mathcal{C}$ of formulas is a set $B$ of variables of $\phi$ such that every assignment of the variables in $B$ results in a formula from $\mathcal{C}$.…

Data Structures and Algorithms · Computer Science 2021-02-10 Nikolas Mählmann , Sebastian Siebertz , Alexandre Vigny

For several decades, much effort has been put into identifying classes of CNF formulas whose satisfiability can be decided in polynomial time. Classic results are the linear-time tractability of Horn formulas (Aspvall, Plass, and Tarjan,…

Data Structures and Algorithms · Computer Science 2022-02-18 Jan Dreier , Sebastian Ordyniak , Stefan Szeider

Knuth (1990) introduced the class of nested formulas and showed that their satisfiability can be decided in polynomial time. We show that, parameterized by the size of a smallest strong backdoor set to the target class of nested formulas,…

Data Structures and Algorithms · Computer Science 2012-03-07 Serge Gaspers , Stefan Szeider

In the context of CSPs, a strong backdoor is a subset of variables such that every complete assignment yields a residual instance guaranteed to have a specified property. If the property allows efficient solving, then a small strong…

Artificial Intelligence · Computer Science 2014-10-13 Clement Carbonnel , Martin C. Cooper , Emmanuel Hebrard

In this paper we extend the classical notion of strong and weak backdoor sets for SAT and CSP by allowing that different instantiations of the backdoor variables result in instances that belong to different base classes; the union of the…

Artificial Intelligence · Computer Science 2017-01-02 Serge Gaspers , Neeldhara Misra , Sebastian Ordyniak , Stefan Szeider , Stanislav Živný

Propositional satisfiability (SAT) is at the nucleus of state-of-the-art approaches to a variety of computationally hard problems, one of which is cryptanalysis. Moreover, a number of practical applications of SAT can only be tackled…

Artificial Intelligence · Computer Science 2018-03-14 Alexander Semenov , Oleg Zaikin , Ilya Otpuschennikov , Stepan Kochemazov , Alexey Ignatiev

Backdoors of answer-set programs are sets of atoms that represent clever reasoning shortcuts through the search space. Assignments to backdoor atoms reduce the given program to several programs that belong to a tractable target class.…

Artificial Intelligence · Computer Science 2012-05-17 Johannes Klaus Fichte

We obtain upper and lower bounds for running times of exponential time algorithms for the detection of weak backdoor sets of 3CNF formulas, considering various base classes. These results include (omitting polynomial factors), (i) a 4.54^k…

Data Structures and Algorithms · Computer Science 2013-07-16 Neeldhara Misra , Sebastian Ordyniak , Venkatesh Raman , Stefan Szeider

A backdoor in a finite-domain CSP instance is a set of variables where each possible instantiation moves the instance into a polynomial-time solvable class. Backdoors have found many applications in artificial intelligence and elsewhere,…

Computational Complexity · Computer Science 2022-11-21 Peter Jonsson , Victor Lagerkvist , Sebastian Ordyniak

We show that the Satisfiability (SAT) problem for CNF formulas with {\beta}-acyclic hypergraphs can be solved in polynomial time by using a special type of Davis-Putnam resolution in which each resolvent is a subset of a parent clause. We…

Data Structures and Algorithms · Computer Science 2013-04-04 Sebastian Ordyniak , Daniel Paulusma , Stefan Szeider

Answer Set Programming (ASP) is an increasingly popular framework for declarative programming that admits the description of problems by means of rules and constraints that form a disjunctive logic program. In particular, many AI problems…

Computational Complexity · Computer Science 2014-03-07 Johannes Klaus Fichte , Stefan Szeider

Over the last two decades, propositional satisfiability (SAT) has become one of the most successful and widely applied techniques for the solution of NP-complete problems. The aim of this paper is to investigate theoretically how Sat can be…

Logic in Computer Science · Computer Science 2013-05-06 Johannes Klaus Fichte , Stefan Szeider

The Strong Exponential Time Hypothesis (SETH) is a standard assumption in (fine-grained) parameterized complexity and many tight lower bounds are based on it. We consider a number of reasonable weakenings of the SETH, with sources from (i)…

Computational Complexity · Computer Science 2025-10-14 Michael Lampis

A backbone of a propositional CNF formula is a variable whose truth value is the same in every truth assignment that satisfies the formula. The notion of backbones for CNF formulas has been studied in various contexts. In this paper, we…

Computational Complexity · Computer Science 2014-07-21 Ronald de Haan , Iyad Kanj , Stefan Szeider

The CNF formula satisfiability problem (CNF-SAT) has been reduced to many fundamental problems in P to prove tight lower bounds under the Strong Exponential Time Hypothesis (SETH). Recently, the works of Abboud, Hansen, Vassilevska W. and…

Computational Complexity · Computer Science 2020-08-31 Daniel Gibney , Gary Hoppenworth , Sharma V. Thankachan

Over the years complexity theorists have proposed many structural parameters to explain the surprising efficiency of conflict-driven clause-learning (CDCL) SAT solvers on a wide variety of large industrial Boolean instances. While some of…

Artificial Intelligence · Computer Science 2017-06-28 Edward Zulkoski , Ruben Martins , Christoph Wintersteiger , Robert Robere , Jia Liang , Krzysztof Czarnecki , Vijay Ganesh

In this paper, we introduce a notion of backdoors to Reiter's propositional default logic and study structural properties of it. Also we consider the problems of backdoor detection (parameterised by the solution size) as well as backdoor…

Logic in Computer Science · Computer Science 2016-02-22 Johannes K. Fichte , Arne Meier , Irina Schindler

Abductive reasoning (or Abduction, for short) is among the most fundamental AI reasoning methods, with a broad range of applications, including fault diagnosis, belief revision, and automated planning. Unfortunately, Abduction is of high…

Artificial Intelligence · Computer Science 2013-04-23 Andreas Pfandler , Stefan Rümmele , Stefan Szeider
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