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The semantic web is an open and distributed environment in which it is hard to guarantee consistency of knowledge and information. Under the standard two-valued semantics everything is entailed if knowledge and information is inconsistent.…

Artificial Intelligence · Computer Science 2014-05-01 Wenzhao Qiao , Nico Roos

In this paper we present analytic 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…

Logic · Mathematics 2016-06-14 Meghdad Ghari

Developments in semantic web technologies have promoted ontological encoding of knowledge from diverse domains. However, modelling many practical domains requires more expressive representations schemes than what the standard description…

Artificial Intelligence · Computer Science 2017-04-05 Arjun Bhardwaj , Sangeetha

This paper describes an architecture that combines the complementary strengths of declarative programming and probabilistic graphical models to enable robots to represent, reason with, and learn from, qualitative and quantitative…

Artificial Intelligence · Computer Science 2014-05-06 Shiqi Zhang , Mohan Sridharan , Michael Gelfond , Jeremy Wyatt

Mathematical reasoning has long been a key benchmark for evaluating large language models. Although substantial progress has been made on math word problems, the need for reasoning over tabular data in real-world applications has been…

Artificial Intelligence · Computer Science 2026-04-20 Shi-Yu Tian , Zhi Zhou , Wei Dong , Kun-Yang Yu , Ming Yang , Zi-Jian Cheng , Lan-Zhe Guo , Yu-Feng Li

In this work, we investigate whether improving task clarity can enhance reasoning ability of large language models, focusing on theorem proving in Coq. We introduce a concept-level metric to evaluate task clarity and show that adding…

Artificial Intelligence · Computer Science 2025-07-04 Yanzhen Lu , Hanbin Yang , Xiaodie Wang , Ge Zhang , Biao Li , Chenxu Fu , Chao Li , Yang Yuan , Andrew Chi-Chih Yao

We propose a novel method for exploiting the semantic structure of text to answer multiple-choice questions. The approach is especially suitable for domains that require reasoning over a diverse set of linguistic constructs but have limited…

Computation and Language · Computer Science 2019-06-11 Daniel Khashabi , Tushar Khot , Ashish Sabharwal , Dan Roth

Justification logics are modal-like logics that provide a framework for reasoning about justifications. This paper introduces labeled sequent calculi for justification logics, as well as for hybrid modal-justification logics. Using the…

Logic · Mathematics 2025-01-17 Meghdad Ghari

Different types of reasoning impose different structural demands on representational systems, yet no systematic account of these demands exists across psychology, AI, and philosophy of mind. I propose a framework identifying four structural…

Artificial Intelligence · Computer Science 2026-04-03 Yiling Wu

We propose a new cyclic proof system for automated, equational reasoning about the behaviour of pure functional programs. The key to the system is the way in which cyclic proof and equational reasoning are mediated by the use of contextual…

Programming Languages · Computer Science 2022-06-16 Eddie Jones , C-. H. Luke Ong , Steven Ramsay

Industrial recommender systems face two fundamental limitations under the log-driven paradigm: (1) knowledge poverty in ID-based item representations that causes brittle interest modeling under data sparsity, and (2) systemic blindness to…

A molecule's properties are fundamentally determined by its composition and structure encoded in its molecular graph. Thus, reasoning about molecular properties requires the ability to parse and understand the molecular graph. Large…

Machine Learning · Computer Science 2026-01-22 Christoph Bartmann , Johannes Schimunek , Mykyta Ielanskyi , Philipp Seidl , Günter Klambauer , Sohvi Luukkonen

We present a KE-tableau-based implementation of a reasoner for a decidable fragment of (stratified) set theory expressing the description logic $\mathcal{DL}\langle \mathsf{4LQS^{R,\!\times}}\rangle(\mathbf{D})$…

Logic in Computer Science · Computer Science 2024-02-22 Domenico Cantone , Marianna Nicolosi-Asmundo , Daniele Francesco Santamaria

Combining knowledge and beliefs of autonomous peers in distributed settings, is a ma- jor challenge. In this paper we consider peers that combine ontologies and reason jointly with their coupled knowledge. Ontologies are within the SHIQ…

Artificial Intelligence · Computer Science 2013-10-10 George A. Vouros , Georgios Santipantakis

In this paper we consider the most common ABox reasoning services for the description logic $\mathcal{DL}\langle \mathsf{4LQS^{R,\!\times}}\rangle(\mathbf{D})$ ($\mathcal{DL}_{\mathbf{D}}^{4,\!\times}$, for short) and prove their…

Logic in Computer Science · Computer Science 2024-02-22 Domenico Cantone , Marianna Nicolosi-Asmundo , Daniele Francesco Santamaria

Visual reasoning over structured data such as tables is a critical capability for modern vision-language models (VLMs), yet current benchmarks remain limited in scale, diversity, or reasoning depth, especially when it comes to rendered…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Boammani Aser Lompo , Marc Haraoui

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…

Category Theory · Mathematics 2010-03-03 J. R. B. Cockett , C. A. Pastro

Reasoning in the Semantic Web (SW) commonly uses Description Logics (DL) via OWL2 DL ontologies, or SWRL for variables and Horn clauses. The Rule Interchange Format (RIF) offers more expressive rules but is defined outside RDF and rarely…

Databases · Computer Science 2025-08-19 Dörthe Arndt , William Van Woensel , Dominik Tomaszuk

Recent advances leverage post-training to enhance model reasoning performance, which typically requires costly training pipelines and still suffers from inefficient, overly lengthy outputs. We introduce Speculative Thinking, a training-free…

Computation and Language · Computer Science 2025-04-18 Wang Yang , Xiang Yue , Vipin Chaudhary , Xiaotian Han

Bernays introduced a method for proving underivability results in propositional calculi by truth tables. In general, this motivates an investigations of how to find, given a propositional logic, a finite-valued logic which has as few…

Logic · Mathematics 2022-01-31 Matthias Baaz , Richard Zach