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Mathematical Structures in Computer Science
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The Scott model of PCF in univalent type theory

Authors: Tom de Jong;

The Scott model of PCF in univalent type theory

Abstract

AbstractWe develop the Scott model of the programming language PCF in univalent type theory. Moreover, we work constructively and predicatively. To account for the non-termination in PCF, we use the lifting monad (also known as the partial map classifier monad) from topos theory, which has been extended to univalent type theory by Escardó and Knapp. Our results show that lifting is a viable approach to partiality in univalent type theory. Moreover, we show that the Scott model can be constructed in a predicative and constructive setting. Other approaches to partiality either require some form of choice or quotient inductive-inductive types. We show that one can do without these extensions.

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Type theory, Topoi, univalent mathematics, Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.), Scott model, Semantics in the theory of computing, Mathematics - Logic, Categories of fibrations, relations to \(K\)-theory, relations to type theory, PCF, Logic in Computer Science (cs.LO), Categorical semantics of formal languages, lifting monad, Continuous lattices and posets, applications, type theory, partial map classifier, FOS: Mathematics, Functional programming and lambda calculus, Logic (math.LO)

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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!
2
Average
Average
Average
Green
hybrid