Interaction Improvement

Fuente: arXiv
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Hauptverfasser: Lancelot, Adrienne, Manzonetto, Giulio, McCusker, Guy, Vanoni, Gabriele
Format: Preprint
Veröffentlicht: 2026
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author Lancelot, Adrienne
Manzonetto, Giulio
McCusker, Guy
Vanoni, Gabriele
author_facet Lancelot, Adrienne
Manzonetto, Giulio
McCusker, Guy
Vanoni, Gabriele
contents The relational semantics of linear logic is a powerful framework for defining resource-aware models of the $λ$-calculus. However, its quantitative aspects are not reflected in the preorders and equational theories induced by these models. Indeed, they can be characterized in terms of (in)equalities between Böhm trees up to extensionality, which are qualitative in nature. We employ the recently introduced checkers calculus to provide a quantitative and contextual interpretation of the preorder associated to the relational semantics. This way, we show that the relational semantics refines the contextual preorder constraining the number of interactions between the related terms and the context.
format Preprint
id arxiv_https___arxiv_org_abs_2601_01638
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Interaction Improvement
Lancelot, Adrienne
Manzonetto, Giulio
McCusker, Guy
Vanoni, Gabriele
Logic in Computer Science
Programming Languages
The relational semantics of linear logic is a powerful framework for defining resource-aware models of the $λ$-calculus. However, its quantitative aspects are not reflected in the preorders and equational theories induced by these models. Indeed, they can be characterized in terms of (in)equalities between Böhm trees up to extensionality, which are qualitative in nature. We employ the recently introduced checkers calculus to provide a quantitative and contextual interpretation of the preorder associated to the relational semantics. This way, we show that the relational semantics refines the contextual preorder constraining the number of interactions between the related terms and the context.
title Interaction Improvement
topic Logic in Computer Science
Programming Languages
url https://arxiv.org/abs/2601.01638