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An uninterpreted program (UP) is a program whose semantics is defined over the theory of uninterpreted functions. This is a common abstraction used in equivalence checking, compiler optimization, and program verification. While simple, the…

Logic in Computer Science · Computer Science 2021-07-28 Hari Govind V K , Sharon Shoham , Arie Gurfinkel

Given an argumentation framework AF, we introduce a mapping function that constructs a disjunctive logic program P, such that the preferred extensions of AF correspond to the stable models of P, after intersecting each stable model with the…

Artificial Intelligence · Computer Science 2008-12-18 Juan Carlos Nieves , Mauricio Osorio , Ulises Cortés

In this paper, we propose a variant of stable model semantics for disjunctive logic programming and deductive databases. The semantics, called minimal founded, generalizes stable model semantics for normal (i.e. non disjunctive) programs…

Logic in Computer Science · Computer Science 2007-05-23 Filippo Furfaro , Gianluigi Greco , Sergio Greco

We study elementary modal logics, i.e. modal logic considered over first-order definable classes of frames. The classical semantics of modal logic allows infinite structures, but often practical applications require to restrict our…

Logic in Computer Science · Computer Science 2012-10-10 Jakub Michaliszyn , Jan Otop , Piotr Witkowski

We present a framework for expressing bottom-up algorithms to compute the well-founded model of non-disjunctive logic programs. Our method is based on the notion of conditional facts and elementary program transformations studied by Brass…

Logic in Computer Science · Computer Science 2007-05-23 Stefan Brass , Juergen Dix , Burkhard Freitag , Ulrich Zukowski

In this paper, we study an extension of the stable model semantics for disjunctive logic programs where each true atom in a model is associated with an algebraic expression (in terms of rule labels) that represents its justifications. As in…

Logic in Computer Science · Computer Science 2016-10-12 Pedro Cabalar , Jorge Fandinno

We propose and study algorithms to compute minimal models, stable models and answer sets of t-CNF theories, and normal and disjunctive t-programs. We are especially interested in algorithms with non-trivial worst-case performance bounds.…

Logic in Computer Science · Computer Science 2007-05-23 Z. Lonc , M. Truszczynski

Linear logic provides a framework to control the complexity of higher-order functional programs. We present an extension of this framework to programs with multithreading and side effects focusing on the case of elementary time. Our main…

Programming Languages · Computer Science 2011-06-13 Antoine Madet , Roberto M. Amadio

This paper continues an established line of research about the relations between argumentation theory, particularly assumption-based argumentation, and different kinds of logic programs. In particular, we extend known result of Caminada,…

Artificial Intelligence · Computer Science 2025-07-09 Jesse Heyninck , Ofer Arieli

In functional programming, point-free relation calculi have been fruitful for general theories of program construction, but for specific applications pointwise expressions can be more convenient and comprehensible. In imperative…

Programming Languages · Computer Science 2015-10-20 David A. Naumann

The \emph{Entscheidungsproblem}, or the classical decision problem, asks whether a given formula of first-order logic is satisfiable. In this work, we consider an extension of this problem to regular first-order \emph{theories}, i.e.,…

Logic in Computer Science · Computer Science 2024-12-31 Umang Mathur , David Mestel , Mahesh Viswanathan

We present the first algorithm for computing class groups and unit groups of arbitrary number fields that provably runs in probabilistic subexponential time, assuming the Extended Riemann Hypothesis (ERH). Previous subexponential algorithms…

Number Theory · Mathematics 2026-02-20 Koen de Boer , Alice Pellet-Mary , Benjamin Wesolowski

The termination problem for affine programs over the integers was left open in\cite{Braverman}. For more that a decade, it has been considered and cited as a challenging open problem. To the best of our knowledge, we present here the most…

Discrete Mathematics · Computer Science 2014-09-19 Rachid Rebiha , Arnaldo Vieira Moura , Nadir Matringe

Operational semantics have been enormously successful, in large part due to its flexibility and simplicity, but they are not compositional. Denotational semantics, on the other hand, are compositional but the lattice-theoretic models are…

Programming Languages · Computer Science 2017-10-24 Jeremy G. Siek

In program semantics and verification, reasoning about loops is complicated by the need to produce two separate mathematical arguments: an invariant, for functional properties (ignoring termination); and a variant, for termination (ignoring…

Programming Languages · Computer Science 2025-04-14 Bertrand Meyer

This paper studies the stable model semantics of logic programs with (abstract) constraint atoms and their properties. We introduce a succinct abstract representation of these constraint atoms in which a constraint atom is represented…

Artificial Intelligence · Computer Science 2009-05-01 Yi-Dong Shen , Jia-Huai You , Li-Yan Yuan

We present a type theory combining both linearity and dependency by stratifying typing rules into a level for logics and a level for programs. The distinction between logics and programs decouples their semantics, allowing the type system…

Programming Languages · Computer Science 2025-10-08 Qiancheng Fu , Hongwei Xi

We show that the emptiness (unsatisfiability) problem is undecidable and $\mathrm{\Pi}^{0}_{1}$-complete for deterministic propositional while programs with (graph) loop. To this end, we introduce a hypothesis elimination using loops. Using…

Logic in Computer Science · Computer Science 2025-04-30 Yoshiki Nakamura

In this paper we propose a framework for combining Disjunctive Logic Programming and Poole's Probabilistic Horn Abduction. We use the concept of hypothesis to specify the probability structure. We consider the case in which probabilistic…

Artificial Intelligence · Computer Science 2013-02-18 Liem Ngo

This paper is devoted to the study of infinitesimal limit cycles that can bifurcate from zero-Hopf equilibria of differential systems based on the averaging method. We develop an efficient symbolic program using Maple for computing the…

Symbolic Computation · Computer Science 2023-05-19 Bo Huang