Every λ-Term is Meaningful for the Infinitary Relational Model

Pierre Vial
{"title":"Every λ-Term is Meaningful for the Infinitary Relational Model","authors":"Pierre Vial","doi":"10.1145/3209108.3209133","DOIUrl":null,"url":null,"abstract":"Infinite types and formulas are known to have really curious and unsound behaviors. For instance, they allow to type Ω, the auto-autoapplication and they thus do not ensure any form of normalization/productivity. Moreover, in most infinitary frameworks, it is not difficult to define a type R that can be assigned to every λ-term. However, these observations do not say much about what coinductive (i.e. infinitary) type grammars are able to provide: it is for instance very difficult to know what types (besides R) can be assigned to a given term in this setting. We begin with a discussion on the expressivity of different forms of infinite types. Then, using the resource-awareness of sequential intersection types (system S) and tracking, we prove that infinite types are able to characterize the arity of every λ-terms and that, in the infinitary extension of the relational model, every term has a \"meaning\" i.e. a non-empty denotation. From the technical point of view, we must deal with the total lack of guarantee of productivity for typable terms: we do so by importing methods inspired by first order model theory.","PeriodicalId":389131,"journal":{"name":"Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3209108.3209133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Infinite types and formulas are known to have really curious and unsound behaviors. For instance, they allow to type Ω, the auto-autoapplication and they thus do not ensure any form of normalization/productivity. Moreover, in most infinitary frameworks, it is not difficult to define a type R that can be assigned to every λ-term. However, these observations do not say much about what coinductive (i.e. infinitary) type grammars are able to provide: it is for instance very difficult to know what types (besides R) can be assigned to a given term in this setting. We begin with a discussion on the expressivity of different forms of infinite types. Then, using the resource-awareness of sequential intersection types (system S) and tracking, we prove that infinite types are able to characterize the arity of every λ-terms and that, in the infinitary extension of the relational model, every term has a "meaning" i.e. a non-empty denotation. From the technical point of view, we must deal with the total lack of guarantee of productivity for typable terms: we do so by importing methods inspired by first order model theory.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
每个λ项对于无穷大关系模型都是有意义的
众所周知,无限的类型和公式具有非常奇怪和不合理的行为。例如,它们允许输入Ω,自动自动应用程序,因此它们不保证任何形式的规范化/生产力。此外,在大多数无穷大框架中,不难定义一个可赋给每一个λ项的R型。然而,这些观察并没有说明协归纳(即无限)类型语法能够提供什么:例如,很难知道在这种情况下给定的项可以分配什么类型(除了R)。我们首先讨论无穷类型的不同形式的可表达性。然后,利用序列交集类型(系统S)的资源感知和跟踪,证明了无限类型能够表征每个λ项的密度,并且在关系模型的无限扩展中,每个项都有一个“意义”,即非空外延。从技术的角度来看,我们必须处理完全缺乏对可类型项的生产率保证的问题:我们通过引入受一阶模型理论启发的方法来做到这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Every λ-Term is Meaningful for the Infinitary Relational Model ReLoC Proceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science An Asynchronous Soundness Theorem for Concurrent Separation Logic Around Classical and Intuitionistic Linear Logics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1