<div class="csl-bib-body">
<div class="csl-entry">Besin, V., Hecher, M., & Woltran, S. (2022). Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck. In <i>Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22)</i> (pp. 2546–2552). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/353</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/153155
-
dc.description.abstract
Answer-Set Programming (ASP) has seen tremendous progress over the last two decades and is nowadays successfully applied in many real-world domains. However, for certain types of problems, the well-known ASP grounding bottleneck still causes severe problems. This becomes virulent when grounding of rules, where the variables have to be replaced by constants, leads to a ground pro- gram that is too huge to be processed by the ASP solver. In this work, we tackle this problem by a novel method that decouples non-ground atoms in rules in order to delegate the evaluation of rule bodies to the solving process. Our procedure translates a non-ground normal program into a ground disjunctive program that is exponential only in the maximum predicate arity, and thus polynomial if this arity is assumed to be bounded by a constant. We demonstrate the feasibility of this new method experimentally by comparing it to standard ASP technology in terms of grounding size, grounding time and total runtime.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
-
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
-
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
Knowledge Representation and Reasoning: Logic Programming
en
dc.subject
Computational Complexity of Reasoning
en
dc.title
Body-Decoupled Grounding via Solving: A Novel Approach on the ASP Bottleneck