[BOEK][B] Answer set solving in practice
Answer Set Programming (ASP) is a declarative problem solving approach, initially tailored
to modeling problems in the area of Knowledge Representation and Reasoning (KRR) …
to modeling problems in the area of Knowledge Representation and Reasoning (KRR) …
[PDF][PDF] Potassco: The Potsdam answer set solving collection
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 …
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
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 …
successfully applied in Satisfiability (SAT) checking. The idea is to view inferences in …
Answer set planning: a survey
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 …
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 …
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
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 …
goal location in an environment, going around obstacles. Pathfinding for multiple agents …
Probabilistic reasoning with answer sets
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 …
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 …
construction safety assessment, that is, prevention through design and planning (PtD/P), that …
Meta-interpretive learning: application to grammatical inference
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 …
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 …
AllSAT has been relatively unexplored compared to other variants despite its significance …