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Electronic Notes in Theoretical Computer Science
Article . 2014 . Peer-reviewed
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Natural Number Objects in Dialectica Categories

Authors: Valeria de Paiva; Charles Morgan; Samuel G. Da Silva;

Natural Number Objects in Dialectica Categories

Abstract

AbstractThis note sets down some facts about natural number objects in the Dialectica category Dial2(Sets). Natural number objects allow us to model Gödel's System T in an intrinsically logical fashion. Gödel's Dialectica Interpretation is a powerful tool originally used to prove the consistency of arithmetic. It was surprising (but pleasing) to discover, in the late eighties, that studying the Dialectica Interpretation by means of categorical proof theory led to models of Girard's Linear Logic, in the shape of Dialectica categories. More recently Dialectica Interpretations of (by now established) Linear Logic systems have been studied, but not extended to System T. In this note we set out to to consider notions of natural number objects in the original Dialectica category models of the Interpretation. These should lead to intrinsic notions of linear recursitivity, we hope.

Keywords

linear logic, natural numbers object, categorical logic, dialectica categories, Theoretical Computer Science, Computer Science(all)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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