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https://dx.doi.org/10.48550/ar...
Article . 2021
License: CC BY
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Abstract clones for abstract syntax

Authors: Arkor, Nathanael; McDermott, Dylan;

Abstract clones for abstract syntax

Abstract

We give a formal treatment of simple type theories, such as the simply-typed $λ$-calculus, using the framework of abstract clones. Abstract clones traditionally describe first-order structures, but by equipping them with additional algebraic structure, one can further axiomatize second-order, variable-binding operators. This provides a syntax-independent representation of simple type theories. We describe multisorted second-order presentations, such as the presentation of the simply-typed $λ$-calculus, and their clone-theoretic algebras; free algebras on clones abstractly describe the syntax of simple type theories quotiented by equations such as $β$- and $η$-equality. We give a construction of free algebras and derive a corresponding induction principle, which facilitates syntax-independent proofs of properties such as adequacy and normalization for simple type theories. Working only with clones avoids some of the complexities inherent in presheaf-based frameworks for abstract syntax.

To appear in the proceedings of FSCD 2021; 16 pages

Country
Germany
Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Science - Programming Languages, presentations, F.3.2; F.4.1, variable binding, 004, 510, Logic in Computer Science (cs.LO), logical relations, free algebras, second-order abstract syntax, abstract clones, substitution, F.3.2, F.4.1, induction, simple type theories, Programming Languages (cs.PL), ddc: ddc:004

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citations
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!
0
Average
Average
Average
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