KR2025Proceedings of the 22nd International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning

Melbourne, Australia. November 11-17, 2025.

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ISSN: 2334-1033
ISBN: 978-1-956792-08-9

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Copyright © 2025 International Joint Conferences on Artificial Intelligence Organization

FastFound: Easing the ASP Bottleneck via Predicate-Decoupled Grounding

  1. Alexander Beiser(TU Wien, Vienna, Austria)
  2. Martin Gebser(University of Klagenfurt, Klagenfurt, Austria)
  3. Markus Hecher(CNRS, Computer Science Research Center of Lens (CRIL), Univ. Artois, Lens, France)
  4. Stefan Woltran(TU Wien, Vienna, Austria)

Keywords

  1. Answer Set Programming
  2. Logic Programming
  3. Grounding Bottleneck
  4. Alternative Grounding
  5. Quadratic Improvements
  6. Grounding Via Solving

Abstract

The grounding bottleneck in Answer Set Programming prohibits large instances from being solved. This is caused by a combinatorial explosion in the grounding phase of standard ground&solve systems. A promising alternative is Body-Decoupled Grounding (BDG), which grounds each body

predicate on its own. However, BDG faces challenges in terms of worst-case grounding size and limited interoperability with other systems.

This paper addresses shortcomings of BDG by introducing FastFound: an alternative foundedness check that significantly reduces grounding sizes, by grounding each predicate on its own. FastFound’s foundedness check is done implicitly, which leads to a quadratic reduction in grounding size. We start by introducing FastFound for tight normal rules, where we observe that this cannot be substantially improved. Then we extend FastFound to head-cycle-free programs and give novel interoperability

results for full disjunctive programs. An experimental evaluation on our prototype shows promising results, as we solve more grounding-heavy tasks than both standard ground&solve systems and BDG.