首页    期刊浏览 2025年06月18日 星期三
登录注册

文章基本信息

  • 标题:Relational Parametricity for Computational Effects
  • 本地全文:下载
  • 作者:Rasmus Ejlers Møgelberg ; Alex Simpson
  • 期刊名称:Logical Methods in Computer Science
  • 印刷版ISSN:1860-5974
  • 电子版ISSN:1860-5974
  • 出版年度:2009
  • 卷号:5
  • 期号:03
  • DOI:10.2168/LMCS-5(3:7)2009
  • 出版社:Technical University of Braunschweig
  • 摘要:

    According to Strachey, a polymorphic program is parametric if it applies a uniform algorithm independently of the type instantiations at which it is applied. The notion of relational parametricity, introduced by Reynolds, is one possible mathematical formulation of this idea. Relational parametricity provides a powerful tool for establishing data abstraction properties, proving equivalences of datatypes, and establishing equalities of programs. Such properties have been well studied in a pure functional setting. Many programs, however, exhibit computational effects, and are not accounted for by the standard theory of relational parametricity. In this paper, we develop a foundational framework for extending the notion of relational parametricity to programming languages with effects.

国家哲学社会科学文献中心版权所有