7 Search Results for "Fried, Dror"

Document
Track B: Automata, Logic, Semantics, and Theory of Programming
DOI: 10.4230/LIPIcs.ICALP.2026.178
Asymptotic Hausdorff and Language Similarity

Authors: Dana Fisman and Gal Meirom

Published in: LIPIcs, Volume 374, 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)

Abstract
We introduce the Asymptotic Hausdorff lifting, denoted AH_d, a general method for lifting an element-level metric d to a (pseudo-) metric on sets, that captures asymptotic similarity in infinite domains equipped with a notion of size. The construction is designed to be insensitive to finite deviations and to avoid the limitations of classical Hausdorff-based approaches, which are often overly sensitive to outliers and fail to reflect asymptotic behavior. Formal languages provide a central motivating instance of this framework, where elements are words and sets are languages. When applied to normalized edit distances, the Asymptotic Hausdorff lifting yields metric-valued distances between languages that reflect asymptotic edit behavior while preserving metric structure. We study the equivalence classes of regular languages induced by AH_d for normalized edit distances d, and characterize their asymptotic essence. Focusing in particular on the normalized edit distance of Marzal and Vidal, ned, we investigate the computation of AH_ned for regular languages and for bounded context-free languages.
Cite as

Dana Fisman and Gal Meirom. Asymptotic Hausdorff and Language Similarity. In 53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 374, pp. 178:1-178:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{fisman_et_al:LIPIcs.ICALP.2026.178,
  author =	{Fisman, Dana and Meirom, Gal},
  title =	{{Asymptotic Hausdorff and Language Similarity}},
  booktitle =	{53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)},
  pages =	{178:1--178:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-428-4},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{374},
  editor =	{Bhattacharya, Sayan and Nanongkai, Danupon and Benedikt, Michael and Puppis, Gabriele},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.178},
  URN =		{urn:nbn:de:0030-drops-265660},
  doi =		{10.4230/LIPIcs.ICALP.2026.178},
  annote =	{Keywords: Automata theory, formal Languages, Metric Spaces, Language similarity, Edit Distance, asymptotic Analysis}
}
Document
DOI: 10.4230/LIPIcs.TIME.2025.7
PDDL to DFA: A Symbolic Transformation for Effective Reasoning

Authors: Giuseppe De Giacomo, Antonio Di Stasio, and Gianmarco Parretti

Published in: LIPIcs, Volume 355, 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)

Abstract
ltl_f reactive synthesis under environment specifications, which concerns the automated generation of strategies enforcing logical specifications, has emerged as a powerful technique for developing autonomous AI systems. It shares many similarities with Fully Observable Nondeterministic (fond) planning. In particular, nondeterministic domains can be expressed as ltl_f environment specifications. However, this is not needed since nondeterministic domains can be transformed into deterministic finite-state automata (dfa) to be used directly in the synthesis process. In this paper, we present a practical symbolic technique for translating domains expressed in Planning Domain Definition Language (pddl) into dfas. The technique allows for the integration of the planning domain, reduced to dfa in a symbolic form, into current symbolic ltl_f synthesis tools. We implemented our technique in a new tool, pddl2dfa, and applied it to solve fond planning by using state-of-the-art reactive synthesis techniques in a tool called syft4fond. Our empirical results confirm the effectiveness of our approach.
Cite as

Giuseppe De Giacomo, Antonio Di Stasio, and Gianmarco Parretti. PDDL to DFA: A Symbolic Transformation for Effective Reasoning. In 32nd International Symposium on Temporal Representation and Reasoning (TIME 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 355, pp. 7:1-7:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{degiacomo_et_al:LIPIcs.TIME.2025.7,
  author =	{De Giacomo, Giuseppe and Di Stasio, Antonio and Parretti, Gianmarco},
  title =	{{PDDL to DFA: A Symbolic Transformation for Effective Reasoning}},
  booktitle =	{32nd International Symposium on Temporal Representation and Reasoning (TIME 2025)},
  pages =	{7:1--7:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-401-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{355},
  editor =	{Vidal, Thierry and Wa{\l}\k{e}ga, Przemys{\l}aw Andrzej},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2025.7},
  URN =		{urn:nbn:de:0030-drops-244532},
  doi =		{10.4230/LIPIcs.TIME.2025.7},
  annote =	{Keywords: Fully Observable Nondeterministic Planning, Linear Temporal Logics on finite traces, Reactive Synthesis, DFA}
}
Document
DOI: 10.4230/LIPIcs.SAT.2025.9
CNFs and DNFs with Exactly k Solutions

Authors: L. Sunil Chandran, Rishikesh Gajjala, and Kuldeep S. Meel

Published in: LIPIcs, Volume 341, 28th International Conference on Theory and Applications of Satisfiability Testing (SAT 2025)

Abstract
Model counting is a fundamental problem that consists of determining the number of satisfying assignments for a given Boolean formula. The weighted variant, which computes the weighted sum of satisfying assignments, has extensive applications in probabilistic reasoning, network reliability, statistical physics, and formal verification. A common approach for solving weighted model counting is to reduce it to unweighted model counting, which raises an important question: What is the minimum number of terms (or clauses) required to construct a DNF (or CNF) formula with exactly k satisfying assignments? In this paper, we establish both upper and lower bounds on this question. We prove that for any natural number k, one can construct a monotone DNF formula with exactly k satisfying assignments using at most O(√{log k}log log k) terms. This construction represents the first o(log k) upper bound for this problem. We complement this result by showing that there exist infinitely many values of k for which any DNF or CNF representation requires at least Ω(log log k) terms or clauses. These results have significant implications for the efficiency of model counting algorithms based on formula transformations.
Cite as

L. Sunil Chandran, Rishikesh Gajjala, and Kuldeep S. Meel. CNFs and DNFs with Exactly k Solutions. In 28th International Conference on Theory and Applications of Satisfiability Testing (SAT 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 341, pp. 9:1-9:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{chandran_et_al:LIPIcs.SAT.2025.9,
  author =	{Chandran, L. Sunil and Gajjala, Rishikesh and Meel, Kuldeep S.},
  title =	{{CNFs and DNFs with Exactly k Solutions}},
  booktitle =	{28th International Conference on Theory and Applications of Satisfiability Testing (SAT 2025)},
  pages =	{9:1--9:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-381-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{341},
  editor =	{Berg, Jeremias and Nordstr\"{o}m, Jakob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2025.9},
  URN =		{urn:nbn:de:0030-drops-237433},
  doi =		{10.4230/LIPIcs.SAT.2025.9},
  annote =	{Keywords: Model counting, #SAT, Set Systems, Combinatorics}
}
Document
DOI: 10.4230/LIPIcs.SAT.2025.22
Enumerating All Boolean Matches

Authors: Alexander Nadel and Yogev Shalmon

Published in: LIPIcs, Volume 341, 28th International Conference on Theory and Applications of Satisfiability Testing (SAT 2025)

Abstract
Boolean matching, a fundamental problem in circuit design, determines whether two Boolean circuits are equivalent under input/output permutations and negations. While most works focus on finding a single match or proving its absence, the problem of enumerating all matches remains largely unexplored, with BooM being a notable exception. Motivated by timing challenges in Intel’s library mapping flow, we introduce EBat - an open-source tool for enumerating all matches between single-output circuits. Built from scratch, EBat reuses BooM’s SAT encoding and introduces novel high-level algorithms and performance-critical subroutines to efficiently identify and block multiple mismatches and matches simultaneously. Experiments demonstrate that EBat substantially outperforms BooM’s baseline algorithm, solving 3 to 4 times more benchmarks within a given time limit. EBat has been productized as part of Intel’s library mapping flow, effectively addressing the timing challenges.
Cite as

Alexander Nadel and Yogev Shalmon. Enumerating All Boolean Matches. In 28th International Conference on Theory and Applications of Satisfiability Testing (SAT 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 341, pp. 22:1-22:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{nadel_et_al:LIPIcs.SAT.2025.22,
  author =	{Nadel, Alexander and Shalmon, Yogev},
  title =	{{Enumerating All Boolean Matches}},
  booktitle =	{28th International Conference on Theory and Applications of Satisfiability Testing (SAT 2025)},
  pages =	{22:1--22:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-381-2},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{341},
  editor =	{Berg, Jeremias and Nordstr\"{o}m, Jakob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2025.22},
  URN =		{urn:nbn:de:0030-drops-237568},
  doi =		{10.4230/LIPIcs.SAT.2025.22},
  annote =	{Keywords: Boolean Matching, All-Boolean-Matching, Enumeration, SAT, Generalization}
}
Document
DOI: 10.4230/LIPIcs.SAT.2024.13
Entailing Generalization Boosts Enumeration

Authors: Dror Fried, Alexander Nadel, Roberto Sebastiani, and Yogev Shalmon

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

Abstract
Given a combinational circuit Γ with a single output o, AllSAT-CT is the problem of enumerating all solutions of Γ. Recently, we introduced several state-of-the-art AllSAT-CT algorithms based on satisfying generalization, which generalizes a given total Boolean solution to a smaller ternary solution that still satisfies the circuit. We implemented them in our open-source tool HALL. In this work we draw upon recent theoretical works suggesting that utilizing generalization algorithms, which can produce solutions that entail the circuit without satisfying it, may enhance enumeration. After considering the theory and adapting it to our needs, we enrich HALL’s AllSAT-CT algorithms by incorporating several newly implemented generalization schemes and additional SAT solvers. By conducting extensive experiments we show that entailing generalization substantially boosts HALL’s performance and quality (where quality corresponds to the number of reported generalized solutions per instance), with the best results achieved by combining satisfying and entailing generalization.
Cite as

Dror Fried, Alexander Nadel, Roberto Sebastiani, and Yogev Shalmon. Entailing Generalization Boosts Enumeration. In 27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 305, pp. 13:1-13:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{fried_et_al:LIPIcs.SAT.2024.13,
  author =	{Fried, Dror and Nadel, Alexander and Sebastiani, Roberto and Shalmon, Yogev},
  title =	{{Entailing Generalization Boosts Enumeration}},
  booktitle =	{27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)},
  pages =	{13:1--13:14},
  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.2024.13},
  URN =		{urn:nbn:de:0030-drops-205351},
  doi =		{10.4230/LIPIcs.SAT.2024.13},
  annote =	{Keywords: Generalization, Minimization, Prime Implicant, AllSAT, SAT, Circuits}
}
Document
DOI: 10.4230/LIPIcs.SAT.2023.9
AllSAT for Combinational Circuits

Authors: Dror Fried, Alexander Nadel, and Yogev Shalmon

Published in: LIPIcs, Volume 271, 26th International Conference on Theory and Applications of Satisfiability Testing (SAT 2023)

Abstract
Motivated by the need to improve the scalability of Intel’s in-house Static Timing Analysis (STA) tool, we consider the problem of enumerating all the solutions of a single-output combinational Boolean circuit, called AllSAT-CT. While AllSAT-CT is immediately reducible to enumerating the solutions of a Boolean formula in Conjunctive Normal Form (AllSAT-CNF), our experiments had shown that such a reduction, followed by applying state-of-the-art AllSAT-CNF tools, does not scale well on neither our industrial AllSAT-CT instances nor generic circuits, both when the user requires the solutions to be disjoint or when they can be non-disjoint. We focused on understanding the reasons for this phenomenon for the well-known iterative blocking family of AllSAT-CNF algorithms. We realized that existing blocking AllSAT-CNF algorithms fail to generalize efficiently for AllSAT-CT, since they are restricted to Boolean logic. Consequently, we introduce three dedicated AllSAT-CT algorithms that are ternary-logic-aware: a ternary simulation-based algorithm TALE, a dual-rail&MaxSAT-based algorithm MARS, and their combination. Specifically, we introduce in MARS two novel blocking clause generation approaches for the disjoint and non-disjoint cases. We implemented our algorithms in our new tool HALL. We show that HALL scales substantially better than any reduction to existing AllSAT-CNF tools on our industrial STA instances as well as on publicly available families of combinational circuits for both the disjoint and the non-disjoint cases.
Cite as

Dror Fried, Alexander Nadel, and Yogev Shalmon. AllSAT for Combinational Circuits. In 26th International Conference on Theory and Applications of Satisfiability Testing (SAT 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 271, pp. 9:1-9:18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{fried_et_al:LIPIcs.SAT.2023.9,
  author =	{Fried, Dror and Nadel, Alexander and Shalmon, Yogev},
  title =	{{AllSAT for Combinational Circuits}},
  booktitle =	{26th International Conference on Theory and Applications of Satisfiability Testing (SAT 2023)},
  pages =	{9:1--9:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-286-0},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{271},
  editor =	{Mahajan, Meena and Slivovsky, Friedrich},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2023.9},
  URN =		{urn:nbn:de:0030-drops-184717},
  doi =		{10.4230/LIPIcs.SAT.2023.9},
  annote =	{Keywords: AllSAT, SAT, Circuits}
}
Document
DOI: 10.4230/LIPIcs.FSTTCS.2019.39
Transformations of Boolean Functions

Authors: Jeffrey M. Dudek and Dror Fried

Published in: LIPIcs, Volume 150, 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2019)

Abstract
Boolean functions are characterized by the unique structure of their solution space. Some properties of the solution space, such as the possible existence of a solution, are well sought after but difficult to obtain. To better reason about such properties, we define transformations as functions that change one Boolean function to another while maintaining some properties of the solution space. We explore transformations of Boolean functions, compactly described as Boolean formulas, where the property is to maintain is the number of solutions in the solution spaces. We first discuss general characteristics of such transformations. Next, we reason about the computational complexity of transforming one Boolean formula to another. Finally, we demonstrate the versatility of transformations by extensively discussing transformations of Boolean formulas to "blocks," which are solution spaces in which the set of solutions makes a prefix of the solution space under a lexicographic order of the variables.
Cite as

Jeffrey M. Dudek and Dror Fried. Transformations of Boolean Functions. In 39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 150, pp. 39:1-39:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{dudek_et_al:LIPIcs.FSTTCS.2019.39,
  author =	{Dudek, Jeffrey M. and Fried, Dror},
  title =	{{Transformations of Boolean Functions}},
  booktitle =	{39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2019)},
  pages =	{39:1--39:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-131-3},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{150},
  editor =	{Chattopadhyay, Arkadev and Gastin, Paul},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2019.39},
  URN =		{urn:nbn:de:0030-drops-116019},
  doi =		{10.4230/LIPIcs.FSTTCS.2019.39},
  annote =	{Keywords: Boolean Formulas, Boolean Functions, Transformations, Model Counting}
}
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