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We present an approach for testing student learning outcomes in a course on automated reasoning using the Isabelle proof assistant. The approach allows us to test both general understanding of formal proofs in various logical proof systems…

Logic in Computer Science · Computer Science 2023-03-13 Frederik Krogsdal Jacobsen , Jørgen Villadsen

We conjecture that the relative unpopularity of logical frameworks among practitioners is partly due to their complex meta-languages, which often demand both programming skills and theoretical knowledge of the meta-language in question for…

Logic in Computer Science · Computer Science 2021-06-29 Bruno Cuconato , Jefferson de Barros Santos , Edward Hermann Haeusler

We present a new software tool for teaching logic based on natural deduction. Its proof system is formalized in the proof assistant Isabelle such that its definition is very precise. Soundness of the formalization has been proved in…

Computers and Society · Computer Science 2015-07-16 Jørgen Villadsen , Alexander Birch Jensen , Anders Schlichtkrull

We introduce the Delta-framework, LF-Delta, a dependent type theory based on the Edinburgh Logical Framework LF, extended with the strong proof-functional connectives, i.e. strong intersection, minimal relevant implication and strong union.…

Logic in Computer Science · Computer Science 2018-08-22 Furio Honsell , Luigi Liquori , Claude Stolze , Ivan Scagnetto

Large Language Models (LLMs) have demonstrated remarkable versatility across various domains. To further advance LLMs, we propose 'SELF' (Self-Evolution with Language Feedback), a novel approach that enables LLMs to self-improve through…

Computation and Language · Computer Science 2024-02-02 Jianqiao Lu , Wanjun Zhong , Wenyong Huang , Yufei Wang , Qi Zhu , Fei Mi , Baojun Wang , Weichao Wang , Xingshan Zeng , Lifeng Shang , Xin Jiang , Qun Liu

We present a method for extracting general modules for ontologies formulated in the description logic ALC. A module for an ontology is an ideally substantially smaller ontology that preserves all entailments for a user-specified set of…

Artificial Intelligence · Computer Science 2023-05-17 Hui Yang , Patrick Koopmann , Yue Ma , Nicole Bidoit

Enterprise modeling deals with the increasing complexity of processes and systems by operationalizing model content and by linking complementary models and languages, thus amplifying the model-value beyond mere comprehensible pictures. To…

Software Engineering · Computer Science 2022-03-29 Victoria Döller

We continue our exploration of various approaches to integration of representations from a Lie algebra $\mbox{Lie} (G)$ to an algebraic group $G$ in positive characteristic. In the present paper we concentrate on an approach exploiting…

Representation Theory · Mathematics 2021-03-31 Dmitriy Rumynin , Matthew Westaway

We present an automated verification of the well-known modal logic cube in Isabelle/HOL, in which we prove the inclusion relations between the cube's logics using automated reasoning tools. Prior work addresses this problem but without…

Logic in Computer Science · Computer Science 2015-08-03 Christoph Benzmüller , Maximilian Claus , Nik Sultana

Generating semantically coherent text requires a robust internal representation of linguistic structures, which traditional embedding techniques often fail to capture adequately. A novel approach, Latent Lexical Projection (LLP), is…

Computation and Language · Computer Science 2025-03-26 Ziad Shaker , Brendan Ashdown , Hugo Fitzalan , Alistair Heathcote , Jocasta Huntington

Dependently typed lambda calculi such as the Edinburgh Logical Framework (LF) are a popular means for encoding rule-based specifications concerning formal syntactic objects. In these frameworks, relations over terms representing formal…

Logic in Computer Science · Computer Science 2013-11-01 Mary Southern , Gopalan Nadathur

We explore end-to-end trained differentiable models that integrate natural logic with neural networks, aiming to keep the backbone of natural language reasoning based on the natural logic formalism while introducing subsymbolic vector…

Computation and Language · Computer Science 2020-11-11 Yufei Feng , Zi'ou Zheng , Quan Liu , Michael Greenspan , Xiaodan Zhu

Pattern-based, modular ontologies have several beneficial properties that lend themselves to FAIR data practices, especially as it pertains to Interoperability and Reusability. However, developing such ontologies has a high upfront cost,…

Artificial Intelligence · Computer Science 2019-04-12 Cogan Shimizu , Quinn Hirt , Pascal Hitzler

We recently presented the so-called allagmatic method, which includes a system metamodel providing a framework for describing, modelling, simulating, and interpreting complex systems. Its development and programming was guided by…

Neural and Evolutionary Computing · Computer Science 2022-08-01 Patrik Christen , Olivier Del Fabbro

A reflective subuniverse in homotopy type theory is an internal version of the notion of a localization in topology or in the theory of $\infty$-categories. Working in homotopy type theory, we give new characterizations of the following…

Category Theory · Mathematics 2021-10-19 J. Daniel Christensen , Egbert Rijke

In interactive theorem proving, formalization quality is a key factor for maintainability and re-usability of developments and can also impact proof-checking performance. Commonly, anti-patterns that cause quality issues are known to…

Logic in Computer Science · Computer Science 2022-07-22 Yecine Megdiche , Fabian Huch , Lukas Stevens

The Isabelle proof assistant includes a small functional language, which allows users to write and reason about programs. So far, these programs could be extracted into a number of functional languages: Standard ML, OCaml, Scala, and…

Programming Languages · Computer Science 2024-09-20 Terru Stübinger , Lars Hupel

We address the relative expressiveness of defeasible logics in the framework DL. Relative expressiveness is formulated as the ability to simulate the reasoning of one logic within another logic. We show that such simulations must be…

Artificial Intelligence · Computer Science 2021-02-16 Michael Maher

In the last years, there has been an increasing demand of a variety of logical systems, prompted mostly by applications of logic in AI and other related areas. Labeled Deductive Systems (LDS) were developed as a flexible methodology to…

Artificial Intelligence · Computer Science 2007-05-23 Carlos Iván Chesñevar , Guillermo Ricardo Simari

This paper introduces LTLF, a temporal logic designed to express the frequency properties of event series in a natural but rigorous manner. By introducing novel, measure-sensitive operators, LTLF allows for the evaluation of frequencies and…

Logic in Computer Science · Computer Science 2026-05-29 Melissa Antonelli , Leonardo Ceragioli , Alessandro Giuseppe Buda , Giuseppe Primiero
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