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P2 Weak Similarity in Higher-Order Mathematical Operational Semantics

高阶数学操作语义中的弱相似性
LICS 2023 38th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)2023匹配度 2/10 · 该论文属于纯 PL 形式语义/余代数领域,研究高阶 abstract GSOS 下弱相似性的同余定理,未涉及 LLM/Agent、静态分析、浮点程序分析或贝叶斯程序分析。虽与形式验证有间接基础关联,但距离用户当前研究画像的核心交叉点较远。引用 10 inbox
Henning Urbat, Stelios Tsampas, Sergey Goncharov, Stefan Milius, Lutz Schröder
crossref: 2026-09-12dblp: 2026-09-12arxiv: 2026-09-12

AI 速览

一句话:在高阶 abstract GSOS 框架下证明弱相似性的同余定理,并实例化为 λ-演算的 applicative similarity。

高阶 abstract GSOS 是 Turi 与 Plotkin 的数学操作语义(Mathematical Operational Semantics)框架向高阶语言的近期扩展,其良好行为性体现为:操作模型上的余代数强(双)相似性是同余。本文为该框架建立相应的弱相似性同余定理,从而补上了弱等价情形下的关键理论缺口。技术路线上,作者在抽象范畴层面发展了若干具有独立价值的方法,包括混合变型双函子(mixed-variance bifunctor)的关系提升、高阶 GSOS 法则(higher-order GSOS laws),以及 Howe 方法的高阶推广。作为验证,该定理可实例化为若干已知概念,例如 Abramsky 为 λ-演算提出的 applicative similarity,说明结果具有一般性与可重用性。

问题
高阶 abstract GSOS 框架此前只保证了余代数强(双)相似性在同余意义下成立,弱相似性的同余定理尚属空白,而弱等价恰是 λ-演算等语言中更贴近观察等价的概念。
方法
在抽象范畴层面发展混合变型双函子的关系提升、高阶 GSOS 法则以及 Howe 方法的高阶版本,并据此证明弱相似性的同余定理。
评估
以范畴论定理的形式给出一般性证明,并通过将其实例化为 Abramsky 的 λ-演算 applicative similarity 等已知概念来展示框架的覆盖力。
原文摘要(Abstract)

Higher-order abstract GSOS is a recent extension of Turi and Plotkin’s framework of Mathematical Operational Semantics to higher-order languages. The fundamental well-behavedness property of all specifications within the framework is that coalgebraic strong (bi)similarity on their operational model is a congruence. In the present work, we establish a corresponding congruence theorem for weak similarity, which is shown to instantiate to well-known concepts such as Abramsky’s applicative similarity for the λ-calculus. On the way, we develop several techniques of independent interest at the level of abstract categories, including relation liftings of mixed-variance bifunctors and higher-order GSOS laws, as well as Howe’s method.

链接与引用

DOI 原文 · arXiv · PDF(开放获取) · DBLP

BibTeX
@inproceedings{Urbat00MS23,
  title = {Weak Similarity in Higher-Order Mathematical Operational Semantics},
  author = {Henning Urbat and Stelios Tsampas and Sergey Goncharov and Stefan Milius and Lutz Schröder},
  booktitle = {LICS},
  year = {2023},
  doi = {10.1109/lics56636.2023.10175706}
}