Arrow Research search
Back to IJCAI

IJCAI 2017

Generating Hard Random Boolean Formulas and Disjunctive Logic Programs

Conference Paper Constraints and Satisfiability Artificial Intelligence

Abstract

We propose a model of random quantified boolean formulas and their natural random disjunctive logic program counterparts. The model extends the standard models for random SAT and 2QBF. We provide theoretical bounds for the phase transition region in the new model, and show experimentally the presence of the easy-hard-easy pattern. Importantly, we show that the model is well suited for assessing solvers tuned to real-world instances. Moreover, to the best of our knowledge, our model and results on random disjunctive logic programs are the first of their kind.

Authors

Keywords

  • Constraints and Satisfiability: Satisfiability
  • Knowledge Representation, Reasoning, and Logic: Logics for Knowledge Representation

Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
794786386411251782
v2026.09.13