Resolution for Constrained Pseudo-Propositional Logic
–arXiv.org Artificial Intelligence
This work, shows how propositional resolution can be generalized to obtain a resolution proof system for constrained pseudo-propositional logic (CPPL), which is an extension resulted from inserting the natural numbers with few constraints symbols into the alphabet of propositional logic and adjusting the underling language accordingly. Unlike the construction of CNF formulas which are restricted to a finite set of clauses, the extended CPPL does not require the corresponding set to be finite. Although this restriction is made dispensable, this work presents a constructive proof showing that the generalized resolution for CPPL is sound and complete. As a marginal result, this implies that propositional resolution is also sound and complete for formulas with even infinite set of clauses.
arXiv.org Artificial Intelligence
Jun-11-2023
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