The Imandra Automated Reasoning System (System Description)

We describe Imandra, a modern computational logic theorem prover designed to bridge the gap between decision procedures such as SMT, semi-automatic inductive provers of the Boyer-Moore family like ACL2, and interactive proof assistants for typed higher-order logics. Imandra’s logic is computational,...

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Bibliographic Details
Published inAutomated Reasoning Vol. 12167; pp. 464 - 471
Main Authors Passmore, Grant, Cruanes, Simon, Ignatovich, Denis, Aitken, Dave, Bray, Matt, Kagan, Elijah, Kanishev, Kostya, Maclean, Ewen, Mometto, Nicola
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2020
Springer International Publishing
SeriesLecture Notes in Computer Science
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Summary:We describe Imandra, a modern computational logic theorem prover designed to bridge the gap between decision procedures such as SMT, semi-automatic inductive provers of the Boyer-Moore family like ACL2, and interactive proof assistants for typed higher-order logics. Imandra’s logic is computational, based on a pure subset of OCaml in which all functions are terminating, with restrictions on types and higher-order functions that allow conjectures to be translated into multi-sorted first-order logic with theories, including arithmetic and datatypes. Imandra has novel features supporting large-scale industrial applications, including a seamless integration of bounded and unbounded verification, first-class computable counterexamples, efficiently executable models and a cloud-native architecture supporting live multiuser collaboration. The core reasoning mechanisms of Imandra are (i) a semi-complete procedure for finding models of formulas in the logic mentioned above, centered around the lazy expansion of recursive functions, (ii) an inductive waterfall and simplifier which “lifts” many Boyer-Moore ideas to our typed higher-order setting. These mechanisms are tightly integrated and subject to many forms of user control.
ISBN:9783030510534
3030510530
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-51054-1_30