Long-Distance Q-Resolution with Dependency Schemes

Author:

Peitl Tomáš,Slivovsky Friedrich,Szeider Stefan

Funder

Austrian Science Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Software

Reference47 articles.

1. Arora, S., Barak, B.: Computational Complexity–A Modern Approach. Cambridge University Press, Cambridge (2009)

2. Balabanov, V., Jiang, J.R.: Unified QBF certification and its applications. Formal Methods Syst. Des. 41(1), 45–65 (2012)

3. Balabanov, V., Jiang, J.R., Janota, M., Widl, M.: Efficient extraction of QBF (counter) models from long-distance resolution proofs. In: Bonet, B., Koenig, S. (eds.) Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2015, pp. 3694–3701. AAAI Press (2015)

4. Balabanov, V., Widl, M., Jiang, J.R.: QBF resolution systems and their proof complexities. In: Sinz, C., Egly, U. (eds.) Theory and Applications of Satisfiability Testing–SAT 2014, Lecture Notes in Computer Science, vol. 8561, pp. 154–169. Springer, Berlin (2014)

5. Benedetti, M., Mangassarian, H.: QBF-based formal verification: experience and perspectives. J. Satisf. Boolean Model. Comput. 5(1–4), 133–191 (2008)

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