阿贝拉中作为可分割多集的绑定上下文

Q4 Computer Science
Terrance Gray, G. Nadathur
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引用次数: 0

摘要

在对结构涉及绑定的形式化对象进行推理时,经常需要分析表达式与上下文的关系,这种上下文将类型、值和其他相关属性与表达式中自由出现的变量联系起来。我们将这种关联称为绑定上下文。推理任务还要求明确说明有关绑定上下文的关联的形状和唯一性等属性。阿贝拉证明助手支持语法结构的高阶处理,它提供了一种简单而优雅的方法来描述这类上下文,并从中提取它们的属性。这种机制从一开始就将绑定上下文视为有序的关联序列。然而,在处理体现线性概念的对象系统时,有必要将绑定上下文更普遍地视为可分割的多集。我们展示了如何调整原始的阿贝拉编码,以包含这样的概括。这种调整的关键思路是将绑定上下文的定义建立在与底层有序关联序列的映射上。我们进一步证明,有序序列视图中成立的属性可以提升到广义的绑定上下文定义中,而且这种提升事实上可以自动完成。这些想法在目前正在开发的阿贝拉两层逻辑方法的扩展中得到了应用,该方法将线性逻辑用作规范逻辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Binding Contexts as Partitionable Multisets in Abella
When reasoning about formal objects whose structures involve binding, it is often necessary to analyze expressions relative to a context that associates types, values, and other related attributes with variables that appear free in the expressions. We refer to such associations as binding contexts. Reasoning tasks also require properties such as the shape and uniqueness of associations concerning binding contexts to be made explicit. The Abella proof assistant, which supports a higher-order treatment of syntactic constructs, provides a simple and elegant way to describe such contexts from which their properties can be extracted. This mechanism is based at the outset on viewing binding contexts as ordered sequences of associations. However, when dealing with object systems that embody notions of linearity, it becomes necessary to treat binding contexts more generally as partitionable multisets. We show how to adapt the original Abella encoding to encompass such a generalization. The key idea in this adaptation is to base the definition of a binding context on a mapping to an underlying ordered sequence of associations. We further show that properties that hold with the ordered sequence view can be lifted to the generalized definition of binding contexts and that this lifting can, in fact, be automated. These ideas find use in the extension currently under development of the two-level logic approach of Abella to a setting where linear logic is used as the specification logic.
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
295
审稿时长
21 weeks
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