21 Search Results for "Creignou, Nadia"

Document
DOI: 10.4230/LIPIcs.ITP.2024.16
A Formal Proof of R(4,5)=25

Authors: Thibault Gauthier and Chad E. Brown

Published in: LIPIcs, Volume 309, 15th International Conference on Interactive Theorem Proving (ITP 2024)

Abstract
In 1995, McKay and Radziszowski proved that the Ramsey number R(4,5) is equal to 25. Their proof relies on a combination of high-level arguments and computational steps. The authors have performed the computational parts of the proof with different implementations in order to reduce the possibility of an error in their programs. In this work, we prove this theorem in the interactive theorem prover HOL4 limiting the uncertainty to the small HOL4 kernel. Instead of verifying their algorithms directly, we rely on the HOL4 interface to MiniSat to prove gluing lemmas. To reduce the number of such lemmas and thus make the computational part of the proof feasible, we implement a generalization algorithm. We verify that its output covers all the possible cases by implementing a custom SAT-solver extended with a graph isomorphism checker.
Cite as

Thibault Gauthier and Chad E. Brown. A Formal Proof of R(4,5)=25. In 15th International Conference on Interactive Theorem Proving (ITP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 309, pp. 16:1-16:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{gauthier_et_al:LIPIcs.ITP.2024.16,
  author =	{Gauthier, Thibault and Brown, Chad E.},
  title =	{{A Formal Proof of R(4,5)=25}},
  booktitle =	{15th International Conference on Interactive Theorem Proving (ITP 2024)},
  pages =	{16:1--16:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-337-9},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{309},
  editor =	{Bertot, Yves and Kutsia, Temur and Norrish, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITP.2024.16},
  URN =		{urn:nbn:de:0030-drops-207446},
  doi =		{10.4230/LIPIcs.ITP.2024.16},
  annote =	{Keywords: Ramsey numbers, SAT solvers, symmetry breaking, generalization, HOL4}
}
Document
DOI: 10.4230/LIPIcs.CP.2024.11
A Multi-Stage Proof Logging Framework to Certify the Correctness of CP Solvers

Authors: Maarten Flippo, Konstantin Sidorov, Imko Marijnissen, Jeff Smits, and Emir Demirović

Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Abstract
Proof logging is used to increase trust in the optimality and unsatisfiability claims of solvers. However, to this date, no constraint programming solver can practically produce proofs without significantly impacting performance, which hinders mainstream adoption. We address this issue by introducing a novel proof generation framework, together with a CP proof format and proof checker. Our approach is to divide the proof generation into three steps. At runtime, we require the CP solver to only produce a proof sketch, which we call a scaffold. After the solving is done, our proof processor trims and expands the scaffold into a full CP proof, which is subsequently verified. Our framework is agnostic to the solver and the verification approach. Through MiniZinc benchmarks, we demonstrate that with our framework, the overhead of logging during solving is often less than 10%, significantly lower than other approaches, and that our proof processing step can reduce the overall size of the proof by orders of magnitude and by extension the proof checking time. Our results demonstrate that proof logging has the potential to become an integral part of the CP community.
Cite as

Maarten Flippo, Konstantin Sidorov, Imko Marijnissen, Jeff Smits, and Emir Demirović. A Multi-Stage Proof Logging Framework to Certify the Correctness of CP Solvers. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 11:1-11:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{flippo_et_al:LIPIcs.CP.2024.11,
  author =	{Flippo, Maarten and Sidorov, Konstantin and Marijnissen, Imko and Smits, Jeff and Demirovi\'{c}, Emir},
  title =	{{A Multi-Stage Proof Logging Framework to Certify the Correctness of CP Solvers}},
  booktitle =	{30th International Conference on Principles and Practice of Constraint Programming (CP 2024)},
  pages =	{11:1--11:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-336-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{307},
  editor =	{Shaw, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.11},
  URN =		{urn:nbn:de:0030-drops-206969},
  doi =		{10.4230/LIPIcs.CP.2024.11},
  annote =	{Keywords: proof logging, formal verification, constraint programming}
}
Document
DOI: 10.4230/LIPIcs.CP.2024.26
Structure-Guided Local Improvement for Maximum Satisfiability

Authors: André Schidler and Stefan Szeider

Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Abstract
The enhanced performance of today’s MaxSAT solvers has elevated their appeal for many large-scale applications, notably in software analysis and computer-aided design. Our research delves into refining anytime MaxSAT solving by repeatedly identifying and solving with an exact solver smaller subinstances that are chosen based on the graphical structure of the instance. We investigate various strategies to pinpoint these subinstances. This structure-guided selection of subinstances provides an exact solver with a high potential for improving the current solution. Our exhaustive experimental analyses contrast our methodology as instantiated in our tool MaxSLIM with previous studies and benchmark it against leading-edge MaxSAT solvers.
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André Schidler and Stefan Szeider. Structure-Guided Local Improvement for Maximum Satisfiability. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 26:1-26:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{schidler_et_al:LIPIcs.CP.2024.26,
  author =	{Schidler, Andr\'{e} and Szeider, Stefan},
  title =	{{Structure-Guided Local Improvement for Maximum Satisfiability}},
  booktitle =	{30th International Conference on Principles and Practice of Constraint Programming (CP 2024)},
  pages =	{26:1--26:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-336-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{307},
  editor =	{Shaw, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.26},
  URN =		{urn:nbn:de:0030-drops-207112},
  doi =		{10.4230/LIPIcs.CP.2024.26},
  annote =	{Keywords: maximum satisfiability, large neighborhood search (LNS), SAT-based local improvement (SLIM), incomplete MaxSAT, graphical structure, metaheuristic}
}
Document
DOI: 10.4230/LIPIcs.CP.2024.29
Mutational Fuzz Testing for Constraint Modeling Systems

Authors: Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, and Tias Guns

Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Abstract
Constraint programming (CP) modeling languages, like MiniZinc, Essence and CPMpy, play a crucial role in making CP technology accessible to non-experts. Both solver-independent modeling frameworks and solvers themselves are complex pieces of software that can contain bugs, which undermines their usefulness. Mutational fuzz testing is a way to test complex systems by stochastically mutating input and verifying preserved properties of the mutated output. We investigate different mutations and verification methods that can be used on the constraint specifications directly. This includes methods proposed in the context of SMT problem specifications, as well as new methods related to global constraints, optimization, and solution counting/preservation. Our results show that such a fuzz testing approach improves the overall code coverage of a modeling system compared to only unit testing, and is able to find bugs in the whole toolchain, from the modeling language transformations themselves to the underlying solvers.
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Wout Vanroose, Ignace Bleukx, Jo Devriendt, Dimos Tsouros, Hélène Verhaeghe, and Tias Guns. Mutational Fuzz Testing for Constraint Modeling Systems. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 29:1-29:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{vanroose_et_al:LIPIcs.CP.2024.29,
  author =	{Vanroose, Wout and Bleukx, Ignace and Devriendt, Jo and Tsouros, Dimos and Verhaeghe, H\'{e}l\`{e}ne and Guns, Tias},
  title =	{{Mutational Fuzz Testing for Constraint Modeling Systems}},
  booktitle =	{30th International Conference on Principles and Practice of Constraint Programming (CP 2024)},
  pages =	{29:1--29:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-336-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{307},
  editor =	{Shaw, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.29},
  URN =		{urn:nbn:de:0030-drops-207149},
  doi =		{10.4230/LIPIcs.CP.2024.29},
  annote =	{Keywords: fuzz testing, Constraint modeling language, bugs, mutational testing, modeling, constraint reformulation}
}
Document
DOI: 10.4230/LIPIcs.CP.2024.31
Inverting Step-Reduced SHA-1 and MD5 by Parameterized SAT Solvers

Authors: Oleg Zaikin

Published in: LIPIcs, Volume 307, 30th International Conference on Principles and Practice of Constraint Programming (CP 2024)

Abstract
MD5 and SHA-1 are fundamental cryptographic hash functions proposed in 1990s. Given a message of arbitrary finite size, MD5 produces a 128-bit hash in 64 steps, while SHA-1 produces a 160-bit hash in 80 steps. It is computationally infeasible to invert MD5 and SHA-1, i.e. to find a message given a hash. In 2012, 28-step MD5 and 23-step SHA-1 were inverted by CDCL solvers, yet no progress has been made since then. The present paper proposes to construct 31 intermediate inverse problems for any pair of MD5 or SHA-1 steps (i,i+1), such that the first problem is very close to inverting i steps, while the 31st one is almost inverting i+1 steps. We constructed SAT encodings of intermediate problems for MD5 and SHA-1, and tuned a CDCL solver on the simplest of them. Then the tuned solver was used to design a parallel Cube-and-Conquer solver which for the first time inverted 29-step MD5 and 24-step SHA-1.
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Oleg Zaikin. Inverting Step-Reduced SHA-1 and MD5 by Parameterized SAT Solvers. In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 307, pp. 31:1-31:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{zaikin:LIPIcs.CP.2024.31,
  author =	{Zaikin, Oleg},
  title =	{{Inverting Step-Reduced SHA-1 and MD5 by Parameterized SAT Solvers}},
  booktitle =	{30th International Conference on Principles and Practice of Constraint Programming (CP 2024)},
  pages =	{31:1--31:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-336-2},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{307},
  editor =	{Shaw, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2024.31},
  URN =		{urn:nbn:de:0030-drops-207165},
  doi =		{10.4230/LIPIcs.CP.2024.31},
  annote =	{Keywords: cryptographic hash function, MD5, SHA-1, preimage attack, SAT, Cube-and-Conquer}
}
Document
DOI: 10.4230/LIPIcs.MFCS.2024.28
Generalized Completion Problems with Forbidden Tournaments

Authors: Zeno Bitter and Antoine Mottet

Published in: LIPIcs, Volume 306, 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024)

Abstract
A recent result by Bodirsky and Guzmán-Pro gives a complexity dichotomy for the following class of computational problems, parametrized by a finite family F of finite tournaments: given an undirected graph, does there exist an orientation of the graph that avoids every tournament in F? One can see the edges of the input graphs as constraints imposing to find an orientation. In this paper, we consider a more general version of this problem where the constraints in the input are not necessarily about pairs of variables and impose local constraints on the global oriented graph to be found. Our main result is a complexity dichotomy for such problems, as well as a classification of such problems where the yes-instances have bounded treewidth duality. As a consequence, we obtain a streamlined proof of the result by Bodirsky and Guzmán-Pro using the theory of smooth approximations due to Mottet and Pinsker.
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Zeno Bitter and Antoine Mottet. Generalized Completion Problems with Forbidden Tournaments. In 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 306, pp. 28:1-28:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{bitter_et_al:LIPIcs.MFCS.2024.28,
  author =	{Bitter, Zeno and Mottet, Antoine},
  title =	{{Generalized Completion Problems with Forbidden Tournaments}},
  booktitle =	{49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024)},
  pages =	{28:1--28:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-335-5},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{306},
  editor =	{Kr\'{a}lovi\v{c}, Rastislav and Ku\v{c}era, Anton{\'\i}n},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2024.28},
  URN =		{urn:nbn:de:0030-drops-205844},
  doi =		{10.4230/LIPIcs.MFCS.2024.28},
  annote =	{Keywords: Tournaments, completion problems, constraint satisfaction problems, homogeneous structures, polymorphisms}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.SAT.2024.1
Models and Counter-Models of Quantified Boolean Formulas (Invited Talk)

Authors: Martina Seidl

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Because of the duality of universal and existential quantification, quantified Boolean formulas (QBF), the extension of propositional logic with quantifiers over the Boolean variables, have not only solutions in terms of models for true formulas like in SAT. Also false QBFs have solutions in terms of counter-models. Both models and counter-models can be represented as certain binary trees or as sets of Boolean functions reflecting the dependencies among the variables of a formula. Such solutions encode the answers to application problems for which QBF solvers are employed like the plan for a planning problem or the error trace of a verification problem. Therefore, models and counter-models are at the core of theory and practice of QBF solving. In this invited talk, we survey approaches that deal with models and counter-models of QBFs and identify some open challenges.
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Martina Seidl. Models and Counter-Models of Quantified Boolean Formulas (Invited Talk). In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 1:1-1:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{seidl:LIPIcs.SAT.2024.1,
  author =	{Seidl, Martina},
  title =	{{Models and Counter-Models of Quantified Boolean Formulas}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{1:1--1:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.1},
  URN =		{urn:nbn:de:0030-drops-205238},
  doi =		{10.4230/LIPIcs.SAT.2024.1},
  annote =	{Keywords: Quantified Boolean Formula, Solution Extraction, Solution Counting}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.22
Speeding up Pseudo-Boolean Propagation

Authors: Robert Nieuwenhuis, Albert Oliveras, Enric Rodríguez-Carbonell, and Rui Zhao

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
Unit propagation is known to be one of the most time-consuming procedures inside CDCL-based SAT solvers. Not surprisingly, it has been studied in depth and the two-watched-literal scheme, enhanced with implementation details boosting its performance, has emerged as the dominant method. In pseudo-Boolean solvers, the importance of unit propagation is similar, but no dominant method exists: counter propagation and watched-based extensions are efficient for different types of constraints, which has opened the door to hybrid methods. However, probably due to the higher complexity of implementing pseudo-Boolean solvers, research efforts have not focused much on concrete implementation details for unit propagation but rather on higher-level aspects of other procedures, such as conflict analysis. In this paper, we present (i) a novel methodology to precisely assess the performance of propagation mechanisms, (ii) an evaluation of implementation variants of the propagation methods present in {RoundingSat} and (iii) a detailed analysis showing that hybrid methods outperform the ones based on a single technique. Our final contribution is to show that a carefully implemented hybrid propagation method is considerably faster than the preferred propagation mechanism in {RoundingSat}, and that this improvement leads to a better overall performance of the solver.
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Robert Nieuwenhuis, Albert Oliveras, Enric Rodríguez-Carbonell, and Rui Zhao. Speeding up Pseudo-Boolean Propagation. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 22:1-22:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{nieuwenhuis_et_al:LIPIcs.SAT.2024.22,
  author =	{Nieuwenhuis, Robert and Oliveras, Albert and Rodr{\'\i}guez-Carbonell, Enric and Zhao, Rui},
  title =	{{Speeding up Pseudo-Boolean Propagation}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{22:1--22:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.22},
  URN =		{urn:nbn:de:0030-drops-205449},
  doi =		{10.4230/LIPIcs.SAT.2024.22},
  annote =	{Keywords: SAT, Pseudo-Boolean Solving, Implementation-level Details}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.23
eSLIM: Circuit Minimization with SAT Based Local Improvement

Authors: Franz-Xaver Reichl, Friedrich Slivovsky, and Stefan Szeider

Published in: LIPIcs, Volume 305, 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)

Abstract
eSLIM is a tool for circuit minimization that utilizes Exact Synthesis and the SAT-based local improvement method (SLIM) to locally improve circuits. eSLIM improves upon the earlier prototype CIOPS that uses Quantified Boolean Formulas (QBF) to succinctly encode resynthesis of multi-output subcircuits subject to don't cares. This paper describes two improvements. First, it presents a purely propositional encoding based on a Boolean relation characterizing the input-output behavior of the subcircuit under don't cares. This allows the use of a SAT solver for resynthesis, substantially reducing running times when applied to functions from the IWLS 2023 competition, where eSLIM placed second. Second, it proposes circuit partitioning techniques in which don't cares for a subcircuit are captured only with respect to an enclosing window, rather than the entire circuit. Circuit partitioning trades completeness for efficiency, and successfully enables the application of exact synthesis to some of the largest circuits in the EPFL suite, leading to improvements over the current best implementation for several instances.
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Franz-Xaver Reichl, Friedrich Slivovsky, and Stefan Szeider. eSLIM: Circuit Minimization with SAT Based Local Improvement. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 23:1-23:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{reichl_et_al:LIPIcs.SAT.2024.23,
  author =	{Reichl, Franz-Xaver and Slivovsky, Friedrich and Szeider, Stefan},
  title =	{{eSLIM: Circuit Minimization with SAT Based Local Improvement}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{23:1--23:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-334-8},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{305},
  editor =	{Chakraborty, Supratik and Jiang, Jie-Hong Roland},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.23},
  URN =		{urn:nbn:de:0030-drops-205458},
  doi =		{10.4230/LIPIcs.SAT.2024.23},
  annote =	{Keywords: QBF, Exact Synthesis, Circuit Minimization, SLIM}
}
Document
DOI: 10.4230/DagMan.10.1.1
Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282)

Authors: James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, and Frank Wolter

Published in: Dagstuhl Manifestos, Volume 10, Issue 1 (2024)

Abstract
Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has been challenged and complemented by research in areas such as machine learning and reasoning under uncertainty. In July 2022,sser a Dagstuhl Perspectives workshop was held on Knowledge Representation and Reasoning. The goal of the workshop was to describe the state of the art in the field, including its relation with other areas, its shortcomings and strengths, together with recommendations for future progress. We developed this manifesto based on the presentations, panels, working groups, and discussions that took place at the Dagstuhl Workshop. It is a declaration of our views on Knowledge Representation: its origins, goals, milestones, and current foci; its relation to other disciplines, especially to Artificial Intelligence; and on its challenges, along with key priorities for the next decade.
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James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, and Frank Wolter. Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282). In Dagstuhl Manifestos, Volume 10, Issue 1, pp. 1-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{delgrande_et_al:DagMan.10.1.1,
  author =	{Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Wolter, Frank},
  title =	{{Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282)}},
  pages =	{1--61},
  journal =	{Dagstuhl Manifestos},
  ISSN =	{2193-2433},
  year =	{2024},
  volume =	{10},
  number =	{1},
  editor =	{Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Wolter, Frank},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagMan.10.1.1},
  URN =		{urn:nbn:de:0030-drops-201403},
  doi =		{10.4230/DagMan.10.1.1},
  annote =	{Keywords: Knowledge representation and reasoning, Applications of logics, Declarative representations, Formal logic}
}
Document
DOI: 10.4230/LIPIcs.MFCS.2022.38
Enumeration Classes Defined by Circuits

Authors: Nadia Creignou, Arnaud Durand, and Heribert Vollmer

Published in: LIPIcs, Volume 241, 47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022)

Abstract
We refine the complexity landscape for enumeration problems by introducing very low classes defined by using Boolean circuits as enumerators. We locate well-known enumeration problems, e.g., from graph theory, Gray code enumeration, and propositional satisfiability in our classes. In this way we obtain a framework to distinguish between the complexity of different problems known to be in DelayP, for which a formal way of comparison was not possible to this day.
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Nadia Creignou, Arnaud Durand, and Heribert Vollmer. Enumeration Classes Defined by Circuits. In 47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 241, pp. 38:1-38:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@InProceedings{creignou_et_al:LIPIcs.MFCS.2022.38,
  author =	{Creignou, Nadia and Durand, Arnaud and Vollmer, Heribert},
  title =	{{Enumeration Classes Defined by Circuits}},
  booktitle =	{47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022)},
  pages =	{38:1--38:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-256-3},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{241},
  editor =	{Szeider, Stefan and Ganian, Robert and Silva, Alexandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2022.38},
  URN =		{urn:nbn:de:0030-drops-168364},
  doi =		{10.4230/LIPIcs.MFCS.2022.38},
  annote =	{Keywords: Computational complexity, enumeration problem, Boolean circuit}
}
Document
DOI: 10.4230/DagRep.6.9.74
SAT and Interactions (Dagstuhl Seminar 16381)

Authors: Olaf Beyersdorff, Nadia Creignou, Uwe Egly, and Heribert Vollmer

Published in: Dagstuhl Reports, Volume 6, Issue 9 (2017)

Abstract
This report documents the programme and outcomes of Dagstuhl Seminar 16381 "SAT and Interactions". The seminar brought together researchers from different areas from theoretical computer science involved with various aspects of satisfiability. A key objective of the seminar has been to initiate or consolidate discussions among the different groups for a fresh attack on one of the most important problems in theoretical computer science and mathematics.
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Olaf Beyersdorff, Nadia Creignou, Uwe Egly, and Heribert Vollmer. SAT and Interactions (Dagstuhl Seminar 16381). In Dagstuhl Reports, Volume 6, Issue 9, pp. 74-93, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@Article{beyersdorff_et_al:DagRep.6.9.74,
  author =	{Beyersdorff, Olaf and Creignou, Nadia and Egly, Uwe and Vollmer, Heribert},
  title =	{{SAT and Interactions (Dagstuhl Seminar 16381)}},
  pages =	{74--93},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{6},
  number =	{9},
  editor =	{Beyersdorff, Olaf and Creignou, Nadia and Egly, Uwe and Vollmer, Heribert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.74},
  URN =		{urn:nbn:de:0030-drops-69116},
  doi =		{10.4230/DagRep.6.9.74},
  annote =	{Keywords: Combinatorics, Computational Complexity, P vs. NP, Proof Complexity, Quantified Boolean formulas, SAT-solvers, satisfiability problem}
}
Document
DOI: 10.4230/DagRep.2.11.87
SAT Interactions (Dagstuhl Seminar 12471)

Authors: Nadia Creignou, Nicola Galesi, Oliver Kullmann, and Heribert Vollmer

Published in: Dagstuhl Reports, Volume 2, Issue 11 (2013)

Abstract
This report documents the programme and outcomes of Dagstuhl Seminar 12471 "SAT Interactions". The seminar brought together researchers from different areas from theoretical computer science as well as the area of SAT solvers. A key objective of the seminar has been to initiate or consolidate discussions among the different groups for a fresh attack on one of the most important problems in theoretical computer science and mathematics.
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Nadia Creignou, Nicola Galesi, Oliver Kullmann, and Heribert Vollmer. SAT Interactions (Dagstuhl Seminar 12471). In Dagstuhl Reports, Volume 2, Issue 11, pp. 87-101, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{creignou_et_al:DagRep.2.11.87,
  author =	{Creignou, Nadia and Galesi, Nicola and Kullmann, Oliver and Vollmer, Heribert},
  title =	{{SAT Interactions (Dagstuhl Seminar 12471)}},
  pages =	{87--101},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{2},
  number =	{11},
  editor =	{Creignou, Nadia and Galesi, Nicola and Kullmann, Oliver and Vollmer, Heribert},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.11.87},
  URN =		{urn:nbn:de:0030-drops-39786},
  doi =		{10.4230/DagRep.2.11.87},
  annote =	{Keywords: satisfiability problem, computational complexity, P-NP question, proof complexity, combinatorics, SAT-solvers, quantified Boolean formulas}
}
Document
DOI: 10.4230/DagSemProc.10061.6
The Complexity of Reasoning for Fragments of Autoepistemic Logic

Authors: Nadia Creignou, Arne Meier, Michael Thomas, and Heribert Vollmer

Published in: Dagstuhl Seminar Proceedings, Volume 10061, Circuits, Logic, and Games (2010)

Abstract
Autoepistemic logic extends propositional logic by the modal operator L. A formula that is preceded by an L is said to be "believed". The logic was introduced by Moore 1985 for modeling an ideally rational agent's behavior and reasoning about his own beliefs. In this paper we analyze all Boolean fragments of autoepistemic logic with respect to the computational complexity of the three most common decision problems expansion existence, brave reasoning and cautious reasoning. As a second contribution we classify the computational complexity of counting the number of stable expansions of a given knowledge base. To the best of our knowledge this is the first paper analyzing the counting problem for autoepistemic logic.
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Nadia Creignou, Arne Meier, Michael Thomas, and Heribert Vollmer. The Complexity of Reasoning for Fragments of Autoepistemic Logic. In Circuits, Logic, and Games. Dagstuhl Seminar Proceedings, Volume 10061, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)

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@InProceedings{creignou_et_al:DagSemProc.10061.6,
  author =	{Creignou, Nadia and Meier, Arne and Thomas, Michael and Vollmer, Heribert},
  title =	{{The Complexity of Reasoning for Fragments of Autoepistemic Logic}},
  booktitle =	{Circuits, Logic, and Games},
  pages =	{1--10},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{10061},
  editor =	{Benjamin Rossman and Thomas Schwentick and Denis Th\'{e}rien and Heribert Vollmer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10061.6},
  URN =		{urn:nbn:de:0030-drops-25234},
  doi =		{10.4230/DagSemProc.10061.6},
  annote =	{Keywords: Autoepistemic logic, computational complexity, nonmonotonic reasoning, Post's lattice}
}
Document
DOI: 10.4230/DagSemProc.06401.1
06401 Abstracts Collection – Complexity of Constraints

Authors: Nadia Creignou, Phokion Kolaitis, and Heribert Vollmer

Published in: Dagstuhl Seminar Proceedings, Volume 6401, Complexity of Constraints (2006)

Abstract
From 01.10.06 to 06.10.06, the Dagstuhl Seminar 06401 ``Complexity of Constraints'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Nadia Creignou, Phokion Kolaitis, and Heribert Vollmer. 06401 Abstracts Collection – Complexity of Constraints. In Complexity of Constraints. Dagstuhl Seminar Proceedings, Volume 6401, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{creignou_et_al:DagSemProc.06401.1,
  author =	{Creignou, Nadia and Kolaitis, Phokion and Vollmer, Heribert},
  title =	{{06401 Abstracts Collection – Complexity of Constraints}},
  booktitle =	{Complexity of Constraints},
  pages =	{1--14},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6401},
  editor =	{Nadia Creignou and Phokion Kolaitis and Heribert Vollmer},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06401.1},
  URN =		{urn:nbn:de:0030-drops-8067},
  doi =		{10.4230/DagSemProc.06401.1},
  annote =	{Keywords: Constraint satisfaction problems, computational complexity, universal algebra, mathematical logic, finite model theory}
}
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