[BOEK][B] Answer set solving in practice

M Gebser, R Kaminski, B Kaufmann, T Schaub - 2022 - books.google.com
Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored
to modeling problems in the area of Knowledge Representation and Reasoning (KRR) …

[PDF][PDF] Potassco: The Potsdam answer set solving collection

M Gebser, B Kaufmann, R Kaminski, M Ostrowski… - Ai …, 2011 - Citeseer
Potassco: The Potsdam Answer Set Solving Collection Page 1 AI Communications 24 (2011)
107–124 107 DOI 10.3233/AIC-2011-0491 IOS Press Potassco: The Potsdam Answer Set …

Conflict-driven answer set solving: From theory to practice

M Gebser, B Kaufmann, T Schaub - Artificial Intelligence, 2012 - Elsevier
We introduce an approach to computing answer sets of logic programs, based on concepts
successfully applied in Satisfiability (SAT) checking. The idea is to view inferences in …

Answer set planning: a survey

SC Tran, E Pontelli, M Balduccini… - Theory and Practice of …, 2023 - cambridge.org
Answer Set Planning refers to the use of Answer Set Programming (ASP) to compute plans,
that is, solutions to planning problems, that transform a given state of the world to another …

Answer set programming for procedural content generation: A design space approach

AM Smith, M Mateas - … on Computational Intelligence and AI in …, 2011 - ieeexplore.ieee.org
Procedural content generators for games produce artifacts from a latent design space. This
space is often only implicitly defined, an emergent result of the procedures used in the …

A general formal framework for pathfinding problems with multiple agents

E Erdem, D Kisa, U Oztok, P Schüller - Proceedings of the AAAI …, 2013 - ojs.aaai.org
Pathfinding for a single agent is the problem of planning a route from an initial location to a
goal location in an environment, going around obstacles. Pathfinding for multiple agents …

Probabilistic reasoning with answer sets

C Baral, M Gelfond, N Rushton - Theory and Practice of Logic …, 2009 - cambridge.org
This paper develops a declarative language, P-log, that combines logical and probabilistic
arguments in its reasoning. Answer Set Prolog is used as the logical foundation, while …

Hazard ontology and 4D benchmark model for facilitation of automated construction safety requirement analysis

KW Johansen, C Schultz… - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Over the last two decades, numerous approaches have been developed for automating
construction safety assessment, that is, prevention through design and planning (PtD/P), that …

Meta-interpretive learning: application to grammatical inference

SH Muggleton, D Lin, N Pahlavi… - Machine learning, 2014 - Springer
Abstract Despite early interest Predicate Invention has lately been under-explored within
ILP. We develop a framework in which predicate invention and recursive generalisations are …

Implementing efficient all solutions SAT solvers

T Toda, T Soh - Journal of Experimental Algorithmics (JEA), 2016 - dl.acm.org
All solutions SAT (AllSAT for short) is a variant of the propositional satisfiability problem.
AllSAT has been relatively unexplored compared to other variants despite its significance …