Resumen
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.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
| Editores | Carles Sierra |
| Páginas | 532-538 |
| Número de páginas | 7 |
| ISBN (versión digital) | 9780999241103 |
| DOI | |
| Estado | Published - 2017 |
| Evento | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia Duración: ago 19 2017 → ago 25 2017 |
Serie de la publicación
| Nombre | IJCAI International Joint Conference on Artificial Intelligence |
|---|---|
| Volumen | 0 |
| ISSN (versión impresa) | 1045-0823 |
Conference
| Conference | 26th International Joint Conference on Artificial Intelligence, IJCAI 2017 |
|---|---|
| País/Territorio | Australia |
| Ciudad | Melbourne |
| Período | 8/19/17 → 8/25/17 |
Nota bibliográfica
Funding Information:This work was partially supported by the Italian Ministry MISE under projects “PIUCultura“ (n. F/020016/01-02/X27), and “Smarter Solutions in the Big Data World” (PON 2014-2020), and by EPSRC grant N023056.
Financiación
This work was partially supported by the Italian Ministry MISE under projects “PIUCultura“ (n. F/020016/01-02/X27), and “Smarter Solutions in the Big Data World” (PON 2014-2020), and by EPSRC grant N023056.
| Financiadores | Número del financiador |
|---|---|
| Italian Ministry MISE | F/020016/01-02/X27 |
| Engineering and Physical Sciences Research Council | N023056 |
ASJC Scopus subject areas
- Artificial Intelligence
Huella
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