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Related papers: Querying with {\L}ukasiewicz logic

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Traditional retrieval methods rely on transforming user queries into vector representations and retrieving documents based on cosine similarity within an embedding space. While efficient and scalable, this approach often fails to handle…

Computation and Language · Computer Science 2025-03-25 Felix Faltings , Wei Wei , Yujia Bao

We study counting propositional logic as an extension of propositional logic with counting quantifiers. We prove that the complexity of the underlying decision problem perfectly matches the appropriate level of Wagner's counting hierarchy,…

Logic in Computer Science · Computer Science 2021-06-04 Melissa Antonelli , Ugo Dal Lago , Paolo Pistone

In this paper we summarized a framework for designing grammar-based procedure for the automatic extraction of the semantic content from spoken queries. Starting with a case study and following an approach which combines the notions of…

Computation and Language · Computer Science 2007-05-23 Afzal Ballim , Vincenzo Pallotta

This paper mainly focuses on (1) a generalized treatment of fuzzy sets of type $n$, where $n$ is an integer larger than or equal to $1$, with an example, mathematical discussions, and real-life interpretation of the given mathematical…

Artificial Intelligence · Computer Science 2022-10-04 Anahita Jamshidnejad

Recently, description logic LE-ALC was introduced for reasoning in the semantic environment of enriched formal contexts, and a polynomial-time tableaux algorithm was developed to check the consistency of knowledge bases with acyclic TBoxes.…

Logic in Computer Science · Computer Science 2025-06-09 Yiwen Ding , Krishna Manoorkar

Unbounded {\L}ukasiewicz logic is a substructural logic that combines features of infinite-valued {\L}ukasiewicz logic with those of abelian logic. The logic is finitely strongly complete w.r.t.~the additive $\ell$-group on the reals…

Logic · Mathematics 2026-05-28 Zuzana Haniková , Filip Jankovec

The handling of user preferences is becoming an increasingly important issue in present-day information systems. Among others, preferences are used for information filtering and extraction to reduce the volume of data presented to the user.…

Databases · Computer Science 2007-05-23 Jan Chomicki

The propositional product logic is one of the basic fuzzy logics with continuous t-norms, exploiting the multiplication t-norm on the unit interval [0,1]. Our aim is to combine well-established automated deduction (theorem proving) with…

Logic in Computer Science · Computer Science 2023-10-25 Dusan Guller

Following the development of fuzzy logic theory by Lotfi Zadeh, its applications were investigated by researchers in different fields. Presenting and working with uncertain data is a complex problem. To solve for such a complex problem, the…

Databases · Computer Science 2011-09-07 Arezoo Rajaei , Ahmad Baraani Dastjerdi , Nasser Ghasem Aghaee

This paper presents a novel approach to translating natural language questions to SQL queries for given tables, which meets three requirements as a real-world data analysis application: cross-domain, multilingualism and enabling…

Artificial Intelligence · Computer Science 2019-10-25 Yan Gao , Jian-Guang Lou , Dongmei Zhang

Autonomous systems (AS) powered by AI components are increasingly integrated into the fabric of our daily lives and society, raising concerns about their ethical and social impact. To be considered trustworthy, AS must adhere to ethical…

Artificial Intelligence · Computer Science 2026-01-09 Ziba Assadi , Paola Inverardi

The transportation of sensitive equipment often suffers from vibrations caused by terrain, weather, and motion speed, leading to inefficiencies and potential damage. To address this challenge, this paper explores an intelligent control…

Systems and Control · Electrical Eng. & Systems 2025-04-10 Vuong Anh Trung , Thanh Son Pham , Truc Thanh Tran , Tran le Thang Dong , Tran Thuan Hoang

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 look at the problem of revising fuzzy belief bases, i.e., belief base revision in which both formulas in the base as well as revision-input formulas can come attached with varying truth-degrees. Working within a very general framework…

Artificial Intelligence · Computer Science 2012-12-12 Richard Booth , Eva Richter

This book presents the advancements and applications of neutrosophics. Chapter 1 first introduces the interval neutrosophic sets which is an instance of neutrosophic sets. In this chapter, the definition of interval neutrosophic sets and…

Logic in Computer Science · Computer Science 2007-05-23 Haibin Wang , Florentin Smarandache , Yan-Qing Zhang , Rajshekhar Sunderraman

The logic of bunched implication BI provides a framework for reasoning about resource composition and forms the basis for an assertion language of separation logic which is used to reason about software programs. Propositional BI is…

Logic in Computer Science · Computer Science 2026-01-06 Revantha Ramanayake

Intuitionistic logic extended with decidable propositional atoms combines classical properties in its propositional part and intuitionistic properties for derivable formulas not containing propositional symbols. Sequent calculus is used as…

General Mathematics · Mathematics 2007-05-23 Alexander Sakharov

Lawvere showed that generalised metric spaces are categories enriched over $[0, \infty]$, the quantale of the positive extended reals. The statement of enrichment is a quantitative analogue of being a preorder. Towards seeking a logic for…

Logic in Computer Science · Computer Science 2024-02-14 Giorgio Bacci , Radu Mardare , Prakash Panangaden , Gordon Plotkin

Linear implication can represent state transitions, but real transition systems operate under temporal, stochastic or probabilistic constraints that are not directly representable in ordinary linear logic. We propose a general modal…

Logic in Computer Science · Computer Science 2013-10-17 Kaustuv Chaudhuri , Joelle Despeyroux

This paper introduces \textsc{FuzzyLogic.jl}, a Julia library to perform fuzzy inference. The library is fully open-source and released under a permissive license. The core design principles of the library are: user-friendliness,…

Artificial Intelligence · Computer Science 2024-06-21 Luca Ferranti , Jani Boutellier
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