Constraints, Lazy Constraints, or Propagators in ASP Solving: An Empirical Analysis
July 13, 2017 Β· Declared Dead Β· π Theory and Practice of Logic Programming
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Authors
Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter SchΓΌller
arXiv ID
1707.04027
Category
cs.AI: Artificial Intelligence
Citations
27
Venue
Theory and Practice of Logic Programming
Last Checked
4 months ago
Abstract
Answer Set Programming (ASP) is a well-established declarative paradigm. One of the successes of ASP is the availability of efficient systems. State-of-the-art systems are based on the ground+solve approach. In some applications this approach is infeasible because the grounding of one or few constraints is expensive. In this paper, we systematically compare alternative strategies to avoid the instantiation of problematic constraints, that are based on custom extensions of the solver. Results on real and synthetic benchmarks highlight some strengths and weaknesses of the different strategies. (Under consideration for acceptance in TPLP, ICLP 2017 Special Issue.)
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