SGGS Decision Procedures
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 12166 LNAI, Page: 356-374
2020
- 2Citations
- 29Captures
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Conference Paper Description
SGGS (Semantically-Guided Goal-Sensitive reasoning) is a conflict-driven first-order theorem-proving method which is refutationally complete and model complete in the limit. These features make it attractive as a basis for decision procedures. In this paper we show that SGGS decides the stratified fragment which generalizes EPR, the PVD fragment, and a new fragment that we dub restrained. The new class has the small model property, as the size of SGGS-generated models can be upper-bounded, and is also decided by hyperresolution and ordered resolution. We report on experiments with a termination tool implementing a restrainedness test, and with an SGGS prototype named Koala.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088250464&origin=inward; http://dx.doi.org/10.1007/978-3-030-51074-9_20; https://link.springer.com/10.1007/978-3-030-51074-9_20; https://dx.doi.org/10.1007/978-3-030-51074-9_20; https://link.springer.com/chapter/10.1007/978-3-030-51074-9_20
Springer Science and Business Media LLC
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