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Neural language models (LMs) have achieved impressive results on various language-based reasoning tasks by utilizing latent knowledge encoded in their own pretrained parameters. To make this reasoning process more explicit, recent works…

计算与语言 · 计算机科学 2023-04-10 Peifeng Wang , Aaron Chan , Filip Ilievski , Muhao Chen , Xiang Ren

Runtime efficiency and termination are crucial properties in the studies of program verification. Instead of dealing with these issues in an ad hoc manner, it would be useful to develop a robust framework in which such properties are…

编程语言 · 计算机科学 2026-04-06 Weijun Chen , Yuxi Fu , Huan Long

This paper presents a proof-theoretic analysis of the modal $\mu$-calculus. More precisely, we prove a syntactic cut-elimination for the non-wellfounded modal $\mu$-calculus, using methods from linear logic and its exponential modalities.…

计算机科学中的逻辑 · 计算机科学 2025-06-12 Esaïe Bauer , Alexis Saurin

For over a decade, researchers in formal methods tried to create formalisms that permit natural specification of systems and allow mathematical reasoning about their correctness. The availability of fully-automated reasoning tools enables…

软件工程 · 计算机科学 2016-11-17 D. Paun , M. Chechik

This article presents liquid resource types, a technique for automatically verifying the resource consumption of functional programs. Existing resource analysis techniques trade automation for flexibility -- automated techniques are…

编程语言 · 计算机科学 2020-07-03 Tristan Knoth , Di Wang , Adam Reynolds , Jan Hoffmann , Nadia Polikarpova

Temporal logics are widely used by the Formal Methods and AI communities. Linear Temporal Logic is a popular temporal logic and is valued for its ease of use as well as its balance between expressiveness and complexity. LTL is equivalent in…

计算机科学中的逻辑 · 计算机科学 2025-07-16 Kevin W. Smith , Moshe Y. Vardi

Explicit chain-of-thought (CoT) reasoning substantially improves the reasoning ability of large language models (LLMs), but incurs high inference cost due to lengthy autoregressive traces. Existing latent reasoning methods offer a promising…

计算与语言 · 计算机科学 2026-05-26 Hui Xie , Jie Liu , Ziyue Qiao , Joaquin Vanschore

A term calculus for the proofs in multiplicative-additive linear logic is introduced and motivated as a programming language for channel based concurrency. The term calculus is proved complete for a semantics in linearly distributive…

范畴论 · 数学 2010-03-03 J. R. B. Cockett , C. A. Pastro

We present a logical system CFP (Concurrent Fixed Point Logic) from whose proofs one can extract nondeterministic and concurrent programs that are provably total and correct with respect to the proven formula. CFP is an intuitionistic…

计算机科学中的逻辑 · 计算机科学 2022-02-01 Ulrich Berger , Hideki Tsuiki

We propose a validity preserving translation from a subset of epistemic Alternating-time Temporal Logic (ATL) to epistemic Computation Tree Logic (CTL). The considered subset of epistemic ATL is known to have the finite model property and…

计算机科学中的逻辑 · 计算机科学 2013-03-05 Dimitar P. Guelev

We propose a novel logic, called Frame Logic (FL), that extends first-order logic (with recursive definitions) using a construct Sp(.) that captures the implicit supports of formulas -- the precise subset of the universe upon which their…

计算机科学中的逻辑 · 计算机科学 2022-09-27 Adithya Murali , Lucas Peña , Christof Löding , P. Madhusudan

This paper employs the linear nested sequent framework to design a new cut-free calculus LNIF for intuitionistic fuzzy logic--the first-order G\"odel logic characterized by linear relational frames with constant domains. Linear nested…

计算机科学中的逻辑 · 计算机科学 2020-10-06 Tim Lyon

The full-potential linearized augmented-plane wave (FP-LAPW) method is well known to enable most accurate calculations of the electronic structure and magnetic properties of crystals and surfaces. The implementation of atomic forces has…

凝聚态物理 · 物理学 2009-10-31 Max Petersen , Frank Wagner , Lars Hufnagel , Matthias Scheffler , Peter Blaha , Karlheinz Schwarz

Inductive logic programming (ILP) is a form of logical machine learning. The goal is to search a hypothesis space for a hypothesis that generalises training examples and background knowledge. We introduce an approach that 'shrinks' the…

人工智能 · 计算机科学 2026-05-18 Andrew Cropper , Filipe Gouveia , David M. Cerna

We present an approach for the verification of feed-forward neural networks in which all nodes have a piece-wise linear activation function. Such networks are often used in deep learning and have been shown to be hard to verify for modern…

计算机科学中的逻辑 · 计算机科学 2017-08-03 Ruediger Ehlers

This paper introduces time window temporal logic (TWTL), a rich expressivity language for describing various time bounded specifications. In particular, the syntax and semantics of TWTL enable the compact representation of serial tasks,…

形式语言与自动机理论 · 计算机科学 2016-02-16 Cristian-Ioan Vasile , Derya Aksaray , Calin Belta

Recently, Logic Explained Networks (LENs) have been proposed as explainable-by-design neural models providing logic explanations for their predictions. However, these models have only been applied to vision and tabular data, and they mostly…

计算与语言 · 计算机科学 2023-09-28 Rishabh Jain , Gabriele Ciravegna , Pietro Barbiero , Francesco Giannini , Davide Buffelli , Pietro Lio

In this paper we present tableau proof systems for various justification logics. We show that the tableau systems are sound and complete with respect to Mkrtychev models. In order to prove the completeness of the tableaux, we give a…

逻辑 · 数学 2025-01-17 Meghdad Ghari

We prove that the problem of determining whether a finite logical matrix determines an algebraizable logic is complete for EXPTIME. The same result holds for the classes of order algebraizable, weakly algebraizable, equivalential and…

逻辑 · 数学 2019-08-05 T. Moraschini

The present paper provides an analysis of the existing proof systems for dynamic epistemic logic from the viewpoint of proof-theoretic semantics. Dynamic epistemic logic is one of the best known members of a family of logical systems which…