activity
20132026
most citedVerifying Tight Logic Programs with anthem and Vampire

30 citations · 102 across the 34 of their papers we have counts for

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24 papers · 1 filter

cs.AI2026

Bound-Founded Semantics for Answer Set Programming with Difference Constraints: Preliminary Report

Pedro Cabalar, Jorge Fandinno, Nicolas Rühling +3

While the integration of linear constraints has significantly expanded the reach of Answer Set Programming (ASP), existing hybrid solvers often rely on disparate semantic underpinn…

cs.AI2026

Parametric Modular Answer Set Programs Made Declarative

Jorge Fandinno, Yuliya Lierler, Torsten Schaub

In this paper, we explore the concept of modularity in first-order answer set programming (ASP). We introduce a new formalism called parametric modular logic programs, which allows…

cs.AI2026

FLINGO -- Instilling ASP Expressiveness into Linear Integer Constraints

Jorge Fandinno, Pedro Cabalar, Philipp Wanko +1

Constraint Answer Set Programming (CASP) is a hybrid paradigm that enriches Answer Set Programming (ASP) with numerical constraint processing, a crucial requirement for many real-w…

cs.AI2025★ 1 cited

Splitting Answer Set Programs with respect to Intensionality Statements (Extended Version)

Jorge Fandinno, Yuliya Lierler

Splitting a logic program allows us to reduce the task of computing its stable models to similar tasks for its subprograms. This can be used to increase solving performance and pro…

cs.AI2025

Strong Equivalence in Answer Set Programming with Constraints

Pedro Cabalar, Jorge Fandinno, Torsten Schaub +1

We investigate the concept of strong equivalence within the extended framework of Answer Set Programming with constraints. Two groups of rules are considered strongly equivalent if…

cs.AI2024

Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence

Jorge Fandinno, Zachary Hansen

This paper shows that the semantics of programs with aggregates implemented by the solvers clingo and dlv can be characterized as extended First-Order formulas with intensional fun…

cs.AI2024

Solving Epistemic Logic Programs using Generate-and-Test with Propagation

Jorge Fandinno, Lute Lillo

This paper introduces a general framework for generate-and-test-based solvers for epistemic logic programs that can be instantiated with different generator and tester programs, an…

cs.AI2023

Embracing Background Knowledge in the Analysis of Actual Causality: An Answer Set Programming Approach

Michael Gelfond, Jorge Fandinno, Evgenii Balai

This paper presents a rich knowledge representation language aimed at formalizing causal knowledge. This language is used for accurately and directly formalizing common benchmark e…

cs.AI2022

Positive Dependency Graphs Revisited

Jorge Fandinno, Vladimir Lifschitz

Theory of stable models is the mathematical basis of answer set programming. Several results in that theory refer to the concept of the positive dependency graph of a logic program…

cs.AI2022

Abstract argumentation and answer set programming: two faces of Nelson's logic

Jorge Fandinno, Luis Fariñas del Cerro

In this work, we show that both logic programming and abstract argumentation frameworks can be interpreted in terms of Nelson's constructive logic N4. We do so by formalizing, in t…

cs.AI2021

Answer Set Programming Made Easy

Jorge Fandinno, Seemran Mishra, Javier Romero +1

We take up an idea from the folklore of Answer Set Programming, namely that choices, integrity constraints along with a restricted rule format is sufficient for Answer Set Programm…

cs.AI2021

Planning with Incomplete Information in Quantified Answer Set Programming

Jorge Fandinno, François Laferrière, Javier Romero +2

We present a general approach to planning with incomplete information in Answer Set Programming (ASP). More precisely, we consider the problems of conformant and conditional planni…

cs.AI2021

Towards a Semantics for Hybrid ASP systems

Pedro Cabalar, Jorge Fandinno, Torsten Schaub +1

Over the last decades the development of ASP has brought about an expressive modeling language powered by highly performant systems. At the same time, it gets more and more difficu…

cs.AI2021

Thirty years of Epistemic Specifications

Jorge Fandinno, Wolfgang Faber, Michael Gelfond

The language of epistemic specifications and epistemic logic programs extends disjunctive logic programs under the stable model semantics with modal constructs called subjective li…

cs.AI2020★ 23 cited

A System for Explainable Answer Set Programming

Pedro Cabalar, Jorge Fandinno, Brais Muñiz

We present xclingo, a tool for generating explanations from ASP programs annotated with text and labels. These annotations allow tracing the application of rules or the atoms deriv…

cs.AI2020★ 3 cited

An ASP semantics for Constraints involving Conditional Aggregates

Pedro Cabalar, Jorge Fandinno, Torsten Schaub +1

We elaborate upon the formal foundations of hybrid Answer Set Programming (ASP) and extend its underlying logical framework with aggregate functions over constraint values and vari…

cs.AI2019

Proceedings of the twelfth Workshop on Answer Set Programming and Other Computing Paradigms 2019

Jorge Fandinno, Johannes Fichte

This is the Proceedings of the twelfth Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP) 2019, which was held in Philadelphia, USA, June 3rd , 2019.

cs.AI2019

On the Relation between Weak Completion Semantics and Answer Set Semantics

Emmanuelle-Anna Dietz Saldanha, Jorge Fandinno

The Weak Completion Semantics (WCS) is a computational cognitive theory that has shown to be successful in modeling episodes of human reasoning. As the WCS is a recently developed…

cs.AI2019

Dynamic Epistemic Logic with ASP Updates: Application to Conditional Planning

Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro

Dynamic Epistemic Logic (DEL) is a family of multimodal logics that has proved to be very successful for epistemic reasoning in planning tasks. In this logic, the agent's knowledge…

cs.AI2018★ 10 cited

Splitting Epistemic Logic Programs

Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro

Epistemic logic programs constitute an extension of the stable models semantics to deal with new constructs called subjective literals. Informally speaking, a subjective literal al…

cs.AI2018

Proceedings of the eleventh Workshop on Answer Set Programming and Other Computing Paradigms 2018

Jorge Fandinno, Johannes Fichte

This is the Proceedings of the eleventh Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP) 2018, which was held in Oxford, UK, July 18th, 2018.

cs.AI2018

Answering the "why" in Answer Set Programming - A Survey of Explanation Approaches

Jorge Fandinno, Claudia Schulz

Artificial Intelligence (AI) approaches to problem-solving and decision-making are becoming more and more complex, leading to a decrease in the understandability of solutions. The…

cs.AI2018

Functional ASP with Intensional Sets: Application to Gelfond-Zhang Aggregates

Pedro Cabalar, Jorge Fandinno, Luis Fariñas del Cerro +1

In this paper, we propose a variant of Answer Set Programming (ASP) with evaluable functions that extends their application to sets of objects, something that allows a fully logica…

cs.AI2013★ 5 cited

An Algebra of Causal Chains

Pedro Cabalar, Jorge Fandinno

In this work we propose a multi-valued extension of logic programs under the stable models semantics where each true atom in a model is associated with a set of justifications, in…