A practical formalization of monadic equational reasoning in dependent-type theory
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| Опубліковано в:: | Journal of Functional Programming vol. 35 (Jan 2025) |
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| Автор: | |
| Інші автори: | , |
| Опубліковано: |
Cambridge University Press
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| Онлайн доступ: | Citation/Abstract Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20250131 | |
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| 100 | 1 | |a Affeldt, Reynald |u Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan (e-mail: reynald.affeldt@aist.go.jp ) | |
| 245 | 1 | |a A practical formalization of monadic equational reasoning in dependent-type theory | |
| 260 | |b Cambridge University Press |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a One can perform equational reasoning about computational effects with a purely functional programming language thanks to monads. Even though equational reasoning for effectful programs is desirable, it is not yet mainstream. This is partly because it is difficult to maintain pencil-and-paper proofs of large examples. We propose a formalization of a hierarchy of effects using monads in the Coq proof assistant that makes monadic equational reasoning practical. Our main idea is to formalize the hierarchy of effects and algebraic laws as interfaces like it is done when formalizing hierarchy of algebras in dependent-type theory. Thanks to this approach, we clearly separate equational laws from models. We can then take advantage of the sophisticated rewriting capabilities of Coq and build libraries of lemmas to achieve concise proofs of programs. We can also use the resulting framework to leverage on Coq’s mathematical theories and formalize models of monads. In this article, we explain how we formalize a rich hierarchy of effects (nondeterminism, state, probability, etc.), how we mechanize examples of monadic equational reasoning from the literature, and how we apply our framework to the design of equational laws for a subset of ML with references. | |
| 653 | |a Set theory | ||
| 653 | |a Functional programming | ||
| 653 | |a Programming languages | ||
| 653 | |a Interfaces | ||
| 653 | |a Reasoning | ||
| 653 | |a Algebra | ||
| 653 | |a Factories | ||
| 700 | 1 | |a Garrigue, Jacques |u Graduate School of Mathematics, Nagoya University, Nagoya, Japan (e-mail: garrigue@math.nagoya-u.ac.jp ) | |
| 700 | 1 | |a Saikawa, Takafumi |u Graduate School of Mathematics, Nagoya University, Nagoya, Japan (e-mail: tscompor@gmail.com ) | |
| 773 | 0 | |t Journal of Functional Programming |g vol. 35 (Jan 2025) | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3152436729/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3152436729/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |