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Fast, Verified Computation for HOL ITPs
by
Abrahamsson, Oskar
, Myreen, Magnus O.
, Kanabar, Hrutvik
, Pohjola, Johannes Åman
, Norrish, Michael
in
Artificial Intelligence
/ Automation
/ Candles
/ Computation
/ Computer Science
/ Computer Sciences
/ Datavetenskap (datalogi)
/ Higher-order logic
/ Interactive theorem proving
/ Logic
/ Mathematical Logic and Formal Languages
/ Mathematical Logic and Foundations
/ Prover soundness
/ Symbolic and Algebraic Manipulation
/ Theorem proving
/ Trust
2025
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Fast, Verified Computation for HOL ITPs
by
Abrahamsson, Oskar
, Myreen, Magnus O.
, Kanabar, Hrutvik
, Pohjola, Johannes Åman
, Norrish, Michael
in
Artificial Intelligence
/ Automation
/ Candles
/ Computation
/ Computer Science
/ Computer Sciences
/ Datavetenskap (datalogi)
/ Higher-order logic
/ Interactive theorem proving
/ Logic
/ Mathematical Logic and Formal Languages
/ Mathematical Logic and Foundations
/ Prover soundness
/ Symbolic and Algebraic Manipulation
/ Theorem proving
/ Trust
2025
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Do you wish to request the book?
Fast, Verified Computation for HOL ITPs
by
Abrahamsson, Oskar
, Myreen, Magnus O.
, Kanabar, Hrutvik
, Pohjola, Johannes Åman
, Norrish, Michael
in
Artificial Intelligence
/ Automation
/ Candles
/ Computation
/ Computer Science
/ Computer Sciences
/ Datavetenskap (datalogi)
/ Higher-order logic
/ Interactive theorem proving
/ Logic
/ Mathematical Logic and Formal Languages
/ Mathematical Logic and Foundations
/ Prover soundness
/ Symbolic and Algebraic Manipulation
/ Theorem proving
/ Trust
2025
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Journal Article
Fast, Verified Computation for HOL ITPs
2025
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Overview
We add an efficient function for computation to the kernels of higher-order logic interactive theorem provers. First, we develop and prove sound our approach for Candle. Candle is a port of HOL Light which has been proved sound with respect to the inference rules of its higher-order logic; we extend its implementation and soundness proof. Second, we replicate our now-verified implementation for HOL4 with only minor changes, and build additional automation for ease of use. The automation exists outside of the HOL4 kernel, and requires no additional trust. We exercise our new computation function and associated automation on the evaluation of the CakeML compiler backend within HOL4’s logic, demonstrating an order of magnitude speedup. This is an extended version of our previous conference paper [
2
], which described implementation and soundness proofs for Candle. Our HOL4 implementation and automation are new, as are the CakeML benchmarks.
Publisher
Springer Netherlands,Springer Nature B.V
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