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Abstract Canonical Inference

An abstract framework of canonical inference is used to explore how different proof orderings induce different variants of saturation and completeness. Notions like completion, paramodulation, saturation, redundancy elimination, and rewrite-system reduction are connected to proof orderings. Fairness of deductive mechanisms is defined in terms of proof orderings, distinguishing between (ordinary) "fairness," which yields completeness, and "uniform fairness," which yields saturation.

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Co-authorshipRelated contextAuthorshipAuthorshipTopic signalTopic signalWAbstract Canonical Inferencepreprint / 2006AMaria Paola BonacinaResearcherANachum DershowitzResearcherTLogic in Computer Science2208 worksTSymbolic Computation372 works
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Abstract Canonical Inference

preprint / 2006

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