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We propose a novel framework seamlessly providing key properties of both neural nets (learning) and symbolic logic (knowledge and reasoning). Every neuron has a meaning as a component of a formula in a weighted real-valued logic, yielding a…

In this paper we investigate two logics from an algebraic point of view. The two logics are: MALL (multiplicative-additive Linear Logic) and LL (classical Linear Logic). Both logics turn out to be strongly algebraizable in the sense of Blok…

Logic · Mathematics 2023-06-06 Paolo Aglianò

Motivated by Gentzen disjunction elimination rule in his Natural Deduction calculus and reading inequalities with meet in a natural way, we conceive a notion of distributivity for join-semilattices. We prove that it is equivalent to a…

Logic · Mathematics 2019-02-06 Rodolfo C. Ertola-Biraben , Francesc Esteva , Lluís Godo

This paper defines a new proof- and category-theoretic framework for classical linear logic that separates reasoning into one linear regime and two persistent regimes corresponding to ! and ?. The resulting linear/producer/consumer (LPC)…

Logic in Computer Science · Computer Science 2015-02-18 Jennifer Paykin , Steve Zdancewic

Linear logic is a substructural logic proposed as a refinement of classical and intuitionistic logics, with applications in programming languages, game semantics, and quantum physics. We present a template for Gentzen-style linear logic…

Logic in Computer Science · Computer Science 2023-09-26 Alen Docef , Radu Negulescu , Mihai Prunescu

This paper explores the connection between two central results in the proof theory of classical logic: Gentzen's cut-elimination for the sequent calculus and Herbrands "fundamental theorem". Starting from Miller's expansion-tree-proofs, a…

Logic · Mathematics 2010-05-24 Richard McKinley

Differential linear logic (DiLL) provides a fine analysis of resource consumption in cut-elimination. We investigate the subsystem of DiLL without promotion in a deep inference formalism, where cuts are at an atomic level. In our system…

Logic in Computer Science · Computer Science 2022-01-03 Matteo Acclavio , Giulio Guerrieri

The present work aims to give a unity of logic via standard sequential, unpolarized games. Specifically, our vision is that there must be mathematically precise concepts of linear refinement and intuitionistic restriction of logic such that…

Logic · Mathematics 2019-12-17 Norihiro Yamada

Ordered logics and type systems have been used in a variety of applications including computational linguistics, memory allocation, stream processing, logical frameworks, parametricity, and enforcing security protocols. In most…

Logic in Computer Science · Computer Science 2026-05-20 Sophia Roshal , Frank Pfenning

Consider a binary classification problem solved using a feed-forward artificial neural network (ANN). Let the ANN be composed of a ReLU layer and several linear layers (convolution, sum-pooling, or fully connected). We assume the network…

Logic in Computer Science · Computer Science 2024-08-27 Ingo Schmitt

We develop a general criterion for cut elimination in sequent calculi for propositional modal logics, which rests on absorption of cut, contraction, weakening and inversion by the purely modal part of the rule system. Our criterion applies…

Logic in Computer Science · Computer Science 2015-07-01 Dirk Pattinson , Lutz Schröder

We consider Representation Misdirection (RM), a class of large language model (LLM) unlearning methods that achieve forgetting by redirecting the forget-representations, that is, latent representations of forget-samples, toward a target…

Machine Learning · Computer Science 2026-05-18 Tien Dang , The-Hai Nguyen , Dinh Mai Phuong , Nguyen Minh Phuong , Anh Bui , Hoang Thanh-Tung , Le-Minh Nguyen , Naoya Inoue

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument structure of a sentence and can be decomposed into two subtasks: predicate disambiguation and argument labeling. Prior work deals with these two tasks independently,…

Computation and Language · Computer Science 2022-09-07 Nan Wang , Jiwei Li , Yuxian Meng , Xiaofei Sun , Han Qiu , Ziyao Wang , Guoyin Wang , Jun He

Recent breakthroughs in large language models (LLMs), particularly in reasoning capabilities, have propelled Retrieval-Augmented Generation (RAG) to unprecedented levels. By synergizing retrieval mechanisms with advanced reasoning, LLMs can…

Information Retrieval · Computer Science 2025-04-25 Yunfan Gao , Yun Xiong , Yijie Zhong , Yuxi Bi , Ming Xue , Haofen Wang

We have previously introduced role logic as a notation for describing properties of relational structures in shape analysis, databases and knowledge bases. A natural fragment of role logic corresponds to two-variable logic with counting and…

Programming Languages · Computer Science 2007-05-23 Viktor Kuncak , Martin Rinard

In this paper, we present a propositional sequent calculus containing disjoint copies of classical and intuitionistic logics. We prove a cut-elimination theorem and we establish a relation between this system and linear logic.

Logic · Mathematics 2009-05-12 Karim Nour , Olivier Laurent

We introduce the two substructural propositional logics KL, KL+, which use disjunction, fusion and a unary, (quasi-)exponential connective. For both we prove strong completeness with respect to the interpretation in Kleene algebras and a…

Logic in Computer Science · Computer Science 2014-08-27 Christian Wurm

The goal of this note is to compare two notions, one coming from the theory of rewrite systems and the other from proof theory: confluence and cut elimination. We show that to each rewrite system on terms, we can associate a logical system:…

Logic in Computer Science · Computer Science 2023-05-24 Gilles Dowek

The model theory of a first-order logic called N^4 is introduced. N^4 does not eliminate double negations, as classical logic does, but instead reduces fourfold negations. N^4 is very close to classical logic: N^4 has two truth values;…

Logic in Computer Science · Computer Science 2007-05-23 François Bry

Despite their great success in recent years, deep neural networks (DNN) are mainly black boxes where the results obtained by running through the network are difficult to understand and interpret. Compared to e.g. decision trees or bayesian…

Machine Learning · Computer Science 2019-07-02 Jan Niclas Reimann , Andreas Schwung