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Conference object . 2018
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https://doi.org/10.1145/317624...
Article . 2018 . Peer-reviewed
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A two-level logic perspective on (simultaneous) substitutions

Authors: Chaudhuri, Kaustuv;

A two-level logic perspective on (simultaneous) substitutions

Abstract

Lambda-tree syntax (λts), also known as higher-order abstract syntax (hoas), is a representational technique where the pure λ-calculus in a meta language is used to represent binding constructs in an object language. A key feature of λts is that capture-avoiding substitution in the object language is represented by β-reduction in the meta language. However, to reason about the meta-theory of (simultaneous) substitutions , it may seem that λts gets in the way: not only does iterated β-reduction not capture simultaneity, but also β-redexes are not first-class constructs. This paper proposes a representation of (simultaneous) substitutions in the two-level logic approach (2lla), where properties of a specification language are established in a strong reasoning meta-logic that supports inductive reasoning. A substitution, which is a partial map from variables to terms, is represented in a form similar to typing contexts, which are partial maps from variables to types; both are first-class in 2lla. The standard typing rules for substitutions are then just a kind of context relation that are already well-known in 2lla. This representation neither changes the reasoning kernel, nor requires any modification of existing type systems, and does not sacrifice any expressivity.

Country
France
Keywords

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]

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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!
1
Average
Average
Average
Green