paperbot · PL 论文追踪

RSS

How to prove decidability of equational theories with second-order computation analyser SOL

JFP vol.292019
MAKOTO HAMANA

尚未生成 AI 速览(可能缺少 API key 或等待下次运行补跑)。

原文摘要(Abstract)

Abstract We present a general methodology of proving the decidability of equational theory of programming language concepts in the framework of second-order algebraic theories. We propose a Haskell-based analysis tool, i.e. Second-Order Laboratory, which assists the proofs of confluence and strong normalisation of computation rules derived from second-order algebraic theories. To cover various examples in programming language theory, we combine and extend both syntactical and semantical results of the second-order computation in a non-trivial manner. We demonstrate how to prove decidability of various algebraic theories in the literature. It includes the equational theories of monad and λ-calculi, Plotkin and Power’s theory of states and bits, and Stark’s theory of π-calculus. We also demonstrate how this methodology can solve the coherence of monoidal categories.

链接与引用

DOI 原文 ·

BibTeX
@article{paperbot729,
  title = {How to prove decidability of equational theories with second-order computation analyser SOL},
  author = {MAKOTO HAMANA},
  journal = {Journal of Functional Programming},
  volume = {29},
  year = {2019},
  doi = {10.1017/s0956796819000157}
}