arXiv · 1502.02535
On First-Order Model-Based Reasoning
Abstract
Reasoning semantically in first-order logic is notoriously a challenge. This paper surveys a selection of semantically-guided or model-based methods that aim at meeting aspects of this challenge. For first-order logic we touch upon resolution-based methods, tableaux-based methods, DPLL-inspired methods, and we give a preview of a new method called SGGS, for Semantically-Guided Goal-Sensitive reasoning. For first-order theories we highlight hierarchical and locality-based methods, concluding with the recent Model-Constructing satisfiability calculus.
Explore related subjects
Keep this discovery
Maria Paola Bonacina, Ulrich Furbach, Viorica Sofronie-Stokkermans. 2015-02-09. On First-Order Model-Based Reasoning. https://doi.org/10.1007/978-3-319-23165-5_8
Cite the original work for its findings. Save a collection to share your selection of sources.