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Generating hard random boolean formulas and disjunctive logic programs

  • Giovanni Amendola
  • , Francesco Ricca
  • , Miroslaw Truszczynski

Producción científica: Conference contributionrevisión exhaustiva

18 Citas (Scopus)

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 originalEnglish
Título de la publicación alojada26th International Joint Conference on Artificial Intelligence, IJCAI 2017
EditoresCarles Sierra
Páginas532-538
Número de páginas7
ISBN (versión digital)9780999241103
DOI
EstadoPublished - 2017
Evento26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia
Duración: ago 19 2017ago 25 2017

Serie de la publicación

NombreIJCAI International Joint Conference on Artificial Intelligence
Volumen0
ISSN (versión impresa)1045-0823

Conference

Conference26th International Joint Conference on Artificial Intelligence, IJCAI 2017
País/TerritorioAustralia
CiudadMelbourne
Período8/19/178/25/17

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.

FinanciadoresNúmero del financiador
Italian Ministry MISEF/020016/01-02/X27
Engineering and Physical Sciences Research CouncilN023056

    ASJC Scopus subject areas

    • Artificial Intelligence

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