Proof Checking and Logic Programming - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Formal Aspects of Computing Année : 2017

Proof Checking and Logic Programming

Résumé

In a world where trusting software systems is increasingly important, formal methods and formal proof can help provide trustable foundations. Proof checking can help to reduce the size of the trusted base since we do not need to trust an entire theorem prover if we can check the proofs they produce by a trusted (and smaller) checker. Many approaches to building proof checkers require embedding within them a full programming language. In most many modern proof checkers and theorem provers, that programming language is a functional programming language, often a variant of ML. In fact, parts of ML (e.g., strong typing , abstract datatypes, and higher-order programming) were designed to make ML into a trustworthy " metalanguage " for checking proofs. While there is considerable overlap in the foundations of logic programming and proof checking (both benefit from unification, backtracking search, efficient term structures, etc), the discipline of logic programming has, in fact, played a minor role in the history of proof checking. I will argue that logic programming can have a major role in the future of this important topic.
Fichier principal
Vignette du fichier
paper.pdf (296.39 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01390901 , version 1 (02-11-2016)

Identifiants

Citer

Dale Miller. Proof Checking and Logic Programming. Formal Aspects of Computing, 2017, 29 (3), pp.383-399 ⟨10.1007/s00165-016-0393-z⟩. ⟨hal-01390901⟩
368 Consultations
644 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More