no code implementations • 15 Jul 2023 • Martin Gebser, Joohyung Lee, Yuliya Lierler
We propose the notion of an elementary set, which is almost equivalent to the notion of an elementary loop for nondisjunctive programs, but is simpler, and, unlike elementary loops, can be extended to disjunctive programs without producing unintuitive results.
no code implementations • 29 Mar 2023 • Daniel Bresnahan, Nicholas Hippen, Yuliya Lierler
We evaluate the impact of Predictor when used as a guide for rewritings produced by the answer set programming rewriting tools Projector and Lpopt.
no code implementations • 4 Aug 2022 • Yuliya Lierler, Jose F. Morales, Carmine Dodaro, Veronica Dahl, Martin Gebser, Tuncay Tekle
ICLP is the premier international event for presenting research in logic programming.
no code implementations • 16 Jun 2022 • Yuliya Lierler
Search-optimization problems are plentiful in scientific and engineering domains.
no code implementations • 13 Jun 2022 • Yuliya Lierler
Automated reasoning and knowledge representation are the subfields of AI that are particularly vested in these developments.
no code implementations • 17 Jul 2021 • Yuliya Lierler
Constraint answer set programming or CASP, for short, is a hybrid approach in automated reasoning putting together the advances of distinct research areas such as answer set programming, constraint processing, and satisfiability modulo theories.
no code implementations • 5 Aug 2020 • Pedro Cabalar, Jorge Fandinno, Yuliya Lierler
In this paper, we study the problem of formal verification for Answer Set Programming (ASP), namely, obtaining a formal proof showing that the answer sets of a given (non-ground) logic program P correctly correspond to the solutions to the problem encoded by P, regardless of the problem instance.
1 code implementation • 18 Sep 2019 • Craig Olson, Yuliya Lierler
In this work we design a narrative understanding tool Text2ALM.
no code implementations • 8 May 2019 • Da Shen, Yuliya Lierler
Constraint answer set programming integrates answer set programming with constraint processing.
no code implementations • 26 Jan 2019 • Marc Denecker, Yuliya Lierler, Miroslaw Truszczynski, Joost Vennekens
In 1999, the seminal papers on answer set programming proposed to use this logic for a different purpose, namely, to model and solve search problems.
no code implementations • 26 Jan 2019 • Yuliya Lierler
Answer set programming is a prominent declarative programming paradigm used in formulating combinatorial search problems and implementing different knowledge representation formalisms.
no code implementations • 14 Feb 2017 • Marcello Balduccini, Yuliya Lierler
One of the main contributions of this paper is the first comprehensive account of the constraint answer set language and solver EZCSP, a mainstream representative of this research area that has been used in various successful applications.
no code implementations • 6 Oct 2015 • Remi Brochenin, Yuliya Lierler, Marco Maratea
A fundamental task in answer set programming is to compute stable models, i. e., solutions of logic programs.
no code implementations • 28 Dec 2013 • Michael Fink, Yuliya Lierler
This volume contains the papers presented at the sixth workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP 2013) held on August 25th, 2013 in Istanbul, co-located with the 29th International Conference on Logic Programming (ICLP 2013).
no code implementations • 20 Dec 2013 • Yuliya Lierler, Miroslaw Truszczynski
Integrating diverse formalisms into modular knowledge representation systems offers increased expressivity, modeling convenience and computational benefits.