Edwin M. Westbrook, Aaron Stump, Evan Austin
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引用次数: 14

摘要

尽管名称绑定在计算机科学中无处不在,但众所周知,在逻辑和类型理论中对它们进行编码和推理是很麻烦的。对于这个问题,文献中提出了许多解决方案,但这些建议中的大多数都是外延的,这意味着它们是根据理论中的其他概念来定义的。这使得这些建议很难应用于像归纳构造演算(CIC)这样的内涵理论。在本文中,我们介绍了一种对名称绑定进行编码的方法,这种方法是内蕴的,因为它试图捕捉名称绑定本身的含义。这种方法以一种直接的方式与CIC相结合,形成名义归纳构造演算,或CNIC。CNIC支持对包含绑定的数据进行归纳,比较名称是否相等,以及以类似于HOAS的方式将元语言类型与名称关联起来,这些特性在实践中很难得到支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The calculus of nominal inductive constructions: an intensional approach to encoding name-bindings
Although name-bindings are ubiquitous in computer science, they are well-known to be cumbersome to encode and reason about in logic and type theory. There are many proposed solutions to this problem in the literature, but most of these proposals, however, have been extensional, meaning they are defined in terms of other concepts in the theory. This makes it difficult to apply these proposals in intensional theories like the Calculus of Inductive Constructions, or CIC. In this paper, we introduce an approach to encoding name-bindings that is intensional, as it attempts to capture the meaning of a name-binding in itself. This approach combines in a straightforward manner with CIC to form the Calculus of Nominal Inductive Constructions, or CNIC. CNIC supports induction over data containing bindings, comparing of names for equality, and associating meta-language types with names in a fashion similar to HOAS, features which have been shown difficult to support in practice.
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