Conflict-driven answer set solving: From theory to practice
By Martin Gebser, Benjamin Kaufmann, Torsten Schaub. Artificial Intelligence, 2012
427 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/03cf19cd3e5a4bb9aedcbbd0d2056c2d02c503f9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Frank Hutter
- Katharina Eggensperger
- Marius Thomas Lindauer
- Holger H. Hoos
- Kevin Leyton-Brown
- Aaron Klein
- André Biedenkapp
- Marco F. Huber
Citations in the corpus
- A Physician Advisory System for Chronic Heart Failure management based on knowledge patterns (2016, methodology): “With minor changes, our system will also work with traditional SAT-based implementations such as CLASP (Gebser et al. 2012; Gebser et al. 2014).”
- Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates (2017, methodology): “Our first set of benchmarks involves running time minimization; these consist of different instance sets taken from each of four widely studied combinatorial problems (mixed-integer programming (MIP), propositional satisfiability (SAT), AI planning, and answer set programming (ASP)) and one or more ”
- Efficient Parameter Importance Analysis via Ablation with Surrogates (2017, background): “CLASP-WS Clasp (Gebser, Kaufmann, and Schaub 2012) is a state-of-the-art solver for ASP.”