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Bisequent Calculus for Four-Valued Quasi-Relevant Logics: Cut Elimination and Interpolation 四值拟相关逻辑的等列演算:切消和插值
IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-11-16 DOI: 10.1007/s10817-023-09685-z
Andrzej Indrzejczak

We present a uniform syntactical characterisation of the class of quasi-relevant logics which are four-valued extensions of the basic relevant logic B of Meyer and Routley. All these logics are obtained by the addition of suitable quasi-relevant implications to the four-valued logic of First Degree Entailment FDE. So far they were characterised axiomatically and semantically in several ways but did not obtain a special proof-theoretic treatment. To this aim a generalised form of sequent calculus called bisequent calculus (BSC) is applied. In BSC rules operate on the ordered pairs of ordinary sequents. It may be treated as the weakest kind of system in the rich family of generalised sequent calculi operating on items which are some collections of ordinary sequents, like hypersequents or nested sequents. It is shown that all logics under consideration have cut-free characterisation in BSC which satisfies the subformula property and yields decidability. It is also shown that the interpolation theorem holds for these logics if their language is enriched with additional negation.

给出了一类准相关逻辑的统一句法刻画,该类逻辑是Meyer和Routley的基本相关逻辑B的四值扩展。所有这些逻辑都是通过在一阶蕴涵FDE的四值逻辑上添加合适的拟相关蕴涵而得到的。到目前为止,它们在公理和语义上有几种不同的特征,但没有得到特殊的证明理论处理。为了达到这个目的,应用了一种广义形式的序列演算,称为双序演算(BSC)。在BSC中,规则作用于普通序列的有序对。它可以被看作是广义序列演算富族中最弱的一类系统,其运算项是普通序列的一些集合,如超序列或嵌套序列。证明了所考虑的所有逻辑在BSC中都具有满足子公式性质并产生可判定性的无切刻画。如果这些逻辑的语言被附加否定所丰富,则插值定理也成立。
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引用次数: 0
Finitary Type Theories With and Without Contexts 有和没有上下文的有限型理论
3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-10-07 DOI: 10.1007/s10817-023-09678-y
Philipp G. Haselwarter, Andrej Bauer
Abstract We give a definition of finitary type theories that subsumes many examples of dependent type theories, such as variants of Martin–Löf type theory, simple type theories, first-order and higher-order logics, and homotopy type theory. We prove several general meta-theorems about finitary type theories: weakening, admissibility of substitution and instantiation of metavariables, derivability of presuppositions, uniqueness of typing, and inversion principles. We then give a second formulation of finitary type theories in which there are no explicit contexts. Instead, free variables are explicitly annotated with their types. We provide translations between finitary type theories with and without contexts, thereby showing that they have the same expressive power. The context-free type theory is implemented in the nucleus of the Andromeda 2 proof assistant.
摘要给出了有限型论的定义,它包含了依赖型论的许多例子,如Martin-Löf型论的变体、简单型论、一阶和高阶逻辑以及同伦型论。我们证明了有限型理论的几个一般元定理:弱化、元变量的代换和实例化的可容许性、假设的可导性、类型的唯一性和反转原理。然后,我们给出了有限型理论的第二种表述,其中没有明确的上下文。相反,自由变量被显式地注释为它们的类型。我们提供了有限类型理论之间的翻译有和没有上下文,从而表明它们具有相同的表达能力。上下文无关类型理论在仙女座2证明助理的核心中实现。
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引用次数: 2
Lower Bounds for QCDCL via Formula Gauge 通过公式规求QCDCL的下界
3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-27 DOI: 10.1007/s10817-023-09683-1
Benjamin Böhm, Olaf Beyersdorff
Abstract QCDCL is one of the main algorithmic paradigms for solving quantified Boolean formulas (QBF). We design a new technique to show lower bounds for the running time in QCDCL algorithms. For this we model QCDCL by concisely defined proof systems and identify a new width measure for formulas, which we call gauge . We show that for a large class of QBFs, large (e.g. linear) gauge implies exponential lower bounds for QCDCL proof size. We illustrate our technique by computing the gauge for a number of sample QBFs, thereby providing new exponential lower bounds for QCDCL. Our technique is the first bespoke lower bound technique for QCDCL.
QCDCL是求解量化布尔公式(QBF)的主要算法范式之一。我们设计了一种新的技术来显示QCDCL算法的运行时间下界。为此,我们用简明定义的证明系统对QCDCL进行建模,并确定了一种新的公式宽度度量,我们称之为量规。我们证明了对于一类大的QBFs,大的(例如线性)规范意味着QCDCL证明尺寸的指数下界。我们通过计算一些样本QBFs的规范来说明我们的技术,从而为QCDCL提供了新的指数下界。我们的技术是第一个定制的QCDCL下界技术。
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引用次数: 3
Combining Stable Infiniteness and (Strong) Politeness 稳定无限与(强)礼貌相结合
3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-27 DOI: 10.1007/s10817-023-09684-0
Ying Sheng, Yoni Zohar, Christophe Ringeissen, Andrew Reynolds, Clark Barrett, Cesare Tinelli
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引用次数: 0
Enabling Floating-Point Arithmetic in the Coq Proof Assistant 在Coq证明助手中启用浮点算术
3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-16 DOI: 10.1007/s10817-023-09679-x
Érik Martin-Dorel, Guillaume Melquiond, Pierre Roux
Floating-point arithmetic is a well-known and extremely efficient way of performing approximate computations over the real numbers. Although it requires some careful considerations, floating-point numbers are nowadays routinely used to prove mathematical theorems. Numerical computations have been applied in the context of formal proofs too, as illustrated by the CoqInterval library. But these computations do not benefit from the powerful floating-point units available in modern processors, since they are emulated inside the logic of the formal system. This paper experiments with the use of hardware floating-point numbers for numerically intensive proofs verified by the Coq proof assistant. This gives rise to various questions regarding the formalization, the implementation, the usability, and the level of trust. This approach has been applied to the CoqInterval and ValidSDP libraries, which demonstrates a speedup of at least one order of magnitude.
浮点运算是对实数进行近似计算的一种众所周知且极其有效的方法。虽然需要仔细考虑,但浮点数现在通常用于证明数学定理。数值计算也已应用于形式证明的上下文中,如CoqInterval库所示。但是这些计算并没有受益于现代处理器中强大的浮点单元,因为它们是在形式系统的逻辑中模拟的。本文尝试使用硬件浮点数进行由Coq证明助手验证的数字密集型证明。这就产生了关于形式化、实现、可用性和信任级别的各种问题。这种方法已经应用于CoqInterval和ValidSDP库,它们证明了至少一个数量级的加速。
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引用次数: 0
Preprocessing of Propagation Redundant Clauses 传播冗余子句的预处理
3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-01 DOI: 10.1007/s10817-023-09681-3
Joseph E. Reeves, Marijn J. H. Heule, Randal E. Bryant
Abstract The propagation redundant (PR) proof system generalizes the resolution and resolution asymmetric tautology proof systems used by conflict-driven clause learning (CDCL) solvers. PR allows short proofs of unsatisfiability for some problems that are difficult for CDCL solvers. Previous attempts to automate PR clause learning used hand-crafted heuristics that work well on some highly-structured problems. For example, the solver SaDiCaL incorporates PR clause learning into the CDCL loop, but it cannot compete with modern CDCL solvers due to its fragile heuristics. We present PReLearn , a preprocessing technique that learns short PR clauses. Adding these clauses to a formula reduces the search space that the solver must explore. By performing PR clause learning as a preprocessing stage, PR clauses can be found efficiently without sacrificing the robustness of modern CDCL solvers. On a large portion of SAT competition benchmarks we found that preprocessing with PReLearn improves solver performance. In addition, there were several satisfiable and unsatisfiable formulas that could only be solved after preprocessing with PReLearn . PReLearn supports proof logging, giving a high level of confidence in the results. Lastly, we tested the robustness of PReLearn by applying other forms of preprocessing as well as by randomly permuting variable names in the formula before running PReLearn , and we found PReLearn performed similarly with and without the changes to the formula.
传播冗余(PR)证明系统推广了冲突驱动子句学习(CDCL)求解器使用的分辨和分辨非对称重言证明系统。PR允许对一些CDCL求解器难以解决的问题进行简短的不满意证明。以前自动化公关条款学习的尝试使用手工制作的启发式方法,这种方法在一些高度结构化的问题上效果很好。例如,求解器SaDiCaL将PR子句学习集成到CDCL循环中,但由于它的启发式很脆弱,因此无法与现代CDCL求解器竞争。我们提出了PReLearn,一种学习短PR从句的预处理技术。将这些子句添加到公式中可以减少求解器必须探索的搜索空间。通过将PR子句学习作为预处理阶段,可以有效地找到PR子句,而不会牺牲现代CDCL求解器的鲁棒性。在大部分SAT竞赛基准测试中,我们发现使用PReLearn进行预处理可以提高求解器的性能。此外,还存在一些可满足和不满足的公式,需要经过PReLearn预处理才能求解。PReLearn支持证明日志记录,对结果给予高度的信心。最后,我们通过应用其他形式的预处理以及在运行PReLearn之前在公式中随机排列变量名称来测试PReLearn的鲁棒性,我们发现PReLearn在改变公式和不改变公式的情况下表现相似。
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引用次数: 3
A Proof Procedure for Separation Logic with Inductive Definitions and Data 具有归纳定义和数据的分离逻辑的一个证明过程
IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-01 DOI: 10.1007/s10817-023-09680-4
M. Echenim, N. Peltier
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引用次数: 1
Reasoning About Vectors: Satisfiability Modulo a Theory of Sequences 关于向量的推理:序列的可满足模理论
3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-09-01 DOI: 10.1007/s10817-023-09682-2
Ying Sheng, Andres Nötzli, Andrew Reynolds, Yoni Zohar, David Dill, Wolfgang Grieskamp, Junkil Park, Shaz Qadeer, Clark Barrett, Cesare Tinelli
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引用次数: 0
Cyclic Hypersequent System for Transitive Closure Logic 传递闭包逻辑的循环超序列系统
IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-08-16 DOI: 10.1007/s10817-023-09675-1
Anupam Das, Marianna Girlando
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引用次数: 0
A Resolution Proof System for Dependency Stochastic Boolean Satisfiability 依赖随机布尔可满足性的一种解析证明系统
IF 1.1 3区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2023-08-03 DOI: 10.1007/s10817-023-09670-6
Yun-Rong Luo, Che Cheng, J. H. Jiang
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引用次数: 1
期刊
Journal of Automated Reasoning
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