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.
|Titolo:||On first-order model-based reasoning|
|Autori interni:||BONACINA, Maria Paola|
|Data di pubblicazione:||2015|
|Serie:||LECTURE NOTES IN COMPUTER SCIENCE|
|Appare nelle tipologie:||02.01 Contributo in volume (Capitolo o Saggio)|