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Lawrence C. Paulson [10]Lawrence Paulson [3]
  1.  26
    The Higher-Order Prover LEO-II.Christoph Benzmüller, Nik Sultana, Lawrence C. Paulson & Frank Theiß - 2015 - Journal of Automated Reasoning 55 (4):389-404.
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  2. Quantified Multimodal Logics in Simple Type Theory.Christoph Benzmüller & Lawrence C. Paulson - 2013 - Logica Universalis 7 (1):7-20.
    We present an embedding of quantified multimodal logics into simple type theory and prove its soundness and completeness. A correspondence between QKπ models for quantified multimodal logics and Henkin models is established and exploited. Our embedding supports the application of off-the-shelf higher-order theorem provers for reasoning within and about quantified multimodal logics. Moreover, it provides a starting point for further logic embeddings and their combinations in simple type theory.
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  3.  14
    A formalised theorem in the partition calculus.Lawrence C. Paulson - 2024 - Annals of Pure and Applied Logic 175 (1):103246.
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  4.  42
    Multimodal and intuitionistic logics in simple type theory.Christoph Benzmueller & Lawrence Paulson - 2010 - Logic Journal of the IGPL 18 (6):881-892.
    We study straightforward embeddings of propositional normal multimodal logic and propositional intuitionistic logic in simple type theory. The correctness of these embeddings is easily shown. We give examples to demonstrate that these embeddings provide an effective framework for computational investigations of various non-classical logics. We report some experiments using the higher-order automated theorem prover LEO-II.
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  5.  28
    Logic and computation: interactive proof with Cambridge LCF.Lawrence C. Paulson - 1987 - New York: Cambridge University Press.
    Logic and Computation is concerned with techniques for formal theorem-proving, with particular reference to Cambridge LCF (Logic for Computable Functions). Cambridge LCF is a computer program for reasoning about computation. It combines methods of mathematical logic with domain theory, the basis of the denotational approach to specifying the meaning of statements in a programming language. This book consists of two parts. Part I outlines the mathematical preliminaries: elementary logic and domain theory. They are explained at an intuitive level, giving references (...)
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  6.  20
    A machine-assisted proof of gödel’s incompleteness theorems for the theory of hereditarily finite sets.Lawrence C. Paulson - 2014 - Review of Symbolic Logic 7 (3):484-498.
  7.  38
    Ackermann’s function in iterative form: A proof assistant experiment.Lawrence C. Paulson - 2021 - Bulletin of Symbolic Logic 27 (4):426-435.
    Ackermann’s function can be expressed using an iterative algorithm, which essentially takes the form of a term rewriting system. Although the termination of this algorithm is far from obvious, its equivalence to the traditional recursive formulation—and therefore its totality—has a simple proof in Isabelle/HOL. This is a small example of formalising mathematics using a proof assistant, with a focus on the treatment of difficult recursions.
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  8.  31
    Lightweight relevance filtering for machine-generated resolution problems.Jia Meng & Lawrence C. Paulson - 2009 - Journal of Applied Logic 7 (1):41-57.
  9.  15
    LEO-II and Satallax on the Sledgehammer test bench.Nik Sultana, Jasmin Christian Blanchette & Lawrence C. Paulson - 2013 - Journal of Applied Logic 11 (1):91-102.