Semantic analysis of normalisation by evaluation for typed lambda calculus

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS Mathematical Structures in Computer Science Pub Date : 2022-11-22 DOI:10.1017/s0960129522000263
Marcelo Fiore
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Abstract

This paper studies normalisation by evaluation for typed lambda calculus from a categorical and algebraic viewpoint. The first part of the paper analyses the lambda definability result of Jung and Tiuryn via Kripke logical relations and shows how it can be adapted to unify definability and normalisation, yielding an extensional normalisation result. In the second part of the paper, the analysis is refined further by considering intensional Kripke relations (in the form of Artin–Wraith glueing) and shown to provide a function for normalising terms, casting normalisation by evaluation in the context of categorical glueing. The technical development includes an algebraic treatment of the syntax and semantics of the typed lambda calculus that allows the definition of the normalisation function to be given within a simply typed metatheory. A normalisation-by-evaluation program in a dependently typed functional programming language is synthesised.
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类型化λ演算的归一化求值语义分析
本文从范畴和代数的角度研究了类型化λ演算的归一化。本文第一部分通过Kripke逻辑关系分析了Jung和Tiuryn的lambda可定义性结果,并说明了如何将其用于统一可定义性和规范化,从而得到一个外延规范化结果。在本文的第二部分中,通过考虑内蕴的Kripke关系(以Artin-Wraith粘合的形式)进一步改进了分析,并显示了提供规范化项的函数,在分类粘合的上下文中通过评估来实现规范化。技术发展包括对类型化lambda演算的语法和语义的代数处理,允许在简单类型化元理论中给出规范化函数的定义。合成了一个依赖类型函数式编程语言中的求值归一化程序。
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来源期刊
Mathematical Structures in Computer Science
Mathematical Structures in Computer Science 工程技术-计算机:理论方法
CiteScore
1.50
自引率
0.00%
发文量
30
审稿时长
12 months
期刊介绍: Mathematical Structures in Computer Science is a journal of theoretical computer science which focuses on the application of ideas from the structural side of mathematics and mathematical logic to computer science. The journal aims to bridge the gap between theoretical contributions and software design, publishing original papers of a high standard and broad surveys with original perspectives in all areas of computing, provided that ideas or results from logic, algebra, geometry, category theory or other areas of logic and mathematics form a basis for the work. The journal welcomes applications to computing based on the use of specific mathematical structures (e.g. topological and order-theoretic structures) as well as on proof-theoretic notions or results.
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