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Normal functors, power series and \(\lambda\)-calculus (Q1103618)

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scientific article; zbMATH DE number 4053612
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Normal functors, power series and \(\lambda\)-calculus
scientific article; zbMATH DE number 4053612

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    Normal functors, power series and \(\lambda\)-calculus (English)
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    1988
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    The origin of this paper was in \(\Pi^ 1_ 2\)-logic: cf. \textit{J.-Y. Girard}, Proof-theory and logical complexity, Volume I (1987; Zbl 0635.03052); its ultimate outcome is the author's ``linear logic'' that might very well revolutionize the way we look at and understand programs - and which is closely related to relevant logic. It looks at ``continuous functionals'' from a functorial - instead of a topological - point of view. These are also considered in Computer Science for models of some \(\lambda\)-calculi. Here ``continuous functionals'' mean ``functors preserving direct limits, infinite pull-backs and kernels''. They are called ``normal functors'', since they have a normal form, and are expressible (up to isomorphism) by power series. The normal functors from \(Set^ A\) to \(Set^ B\) are the objects of a category \(Set^{Int(A).B}\). The usual operations and constructs (e.g., \(\lambda\)- abstraction, the \(\lambda\)-calculus, the Gödel-system \({\mathcal T}\), probabilistic algorithms, etc.) are seen to be interpretable in this setting. The appendix A discusses qualitative domains - the simplified analogue of Scott domains, while Appendix B studies sums of types.
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    continuous functionals
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    functors preserving direct limits, infinite pull- backs and kernels
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    normal functors
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    power series
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    \(\lambda \)-abstraction
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    \(\lambda \)-calculus
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    Gödel-system
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    probabilistic algorithms
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    qualitative domains
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    sums of types
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