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14
Experiments with ZF Set Theory in HOL and Isabelle
 IN PROCEEDINGS OF THE 8TH INTERNATIONAL WORKSHOP ON HIGHER ORDER LOGIC THEOREM PROVING AND ITS APPLICATIONS, LNCS
, 1995
"... Most general purpose proof assistants support versions of typed higher order logic. Experience has shown that these logics are capable of representing most of the mathematical models needed in Computer Science. However, perhaps there exist applications where ZFstyle set theory is more natural, ..."
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Cited by 13 (1 self)
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Most general purpose proof assistants support versions of typed higher order logic. Experience has shown that these logics are capable of representing most of the mathematical models needed in Computer Science. However, perhaps there exist applications where ZFstyle set theory is more natural, or even necessary. Examples may include Scott's classical inverselimit construction of a model of the untyped  calculus (D1 ) and the semantics of parts of the Z specification notation. This paper
A Framework for Program Development Based on Schematic Proof
, 1993
"... Often, calculi for manipulating and reasoning about programs can be recast as calculi for synthesizing programs. The difference involves often only a slight shift of perspective: admitting metavariables into proofs. We propose that such calculi should be implemented in logical frameworks that suppor ..."
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Cited by 12 (5 self)
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Often, calculi for manipulating and reasoning about programs can be recast as calculi for synthesizing programs. The difference involves often only a slight shift of perspective: admitting metavariables into proofs. We propose that such calculi should be implemented in logical frameworks that support this kind of proof construction and that such an implementation can unify program verification and synthesis. Our proposal is illustrated with a worked example developed in Paulson's Isabelle system. We also give examples of existent calculi that are closely related to the methodology we are proposing and others that can be profitably recast using our approach.
Merging HOL with Set Theory  preliminary experiments
, 1994
"... Set theory is the standard foundation for mathematics, but the majority of general purpose mechanised proof assistants support versions of type theory (higher order logic). Examples include Alf, Automath, Coq, EHDM, HOL, IMPS, LAMBDA, LEGO, Nuprl, PVS and Veritas. For many applications type theory w ..."
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Cited by 11 (1 self)
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Set theory is the standard foundation for mathematics, but the majority of general purpose mechanised proof assistants support versions of type theory (higher order logic). Examples include Alf, Automath, Coq, EHDM, HOL, IMPS, LAMBDA, LEGO, Nuprl, PVS and Veritas. For many applications type theory works well and provides, for specification, the benefits of typechecking that are wellknown in programming. However, there are areas where types get in the way or seem unmotivated. Furthermore, most people with a scientific or engineering background already know set theory, whereas type theory may appear inaccessable and so be an obstacle to the uptake of proof assistants based on it. This paper describes some experiments (using HOL) in combining set theory and type theory; the aim is to get the best of both worlds in a single system. Three approaches have been tried, all based on an axiomatically specified type V of ZFlike sets: (i) HOL is used without any additions besides V; (ii) an emb...
Set Theory, Higher Order Logic or Both?
"... The majority of general purpose mechanised proof assistants support versions of typed higher order logic, even though set theory is the standard foundation for mathematics. For many applications higher order logic works well and provides, for specification, the benefits of typechecking that are ..."
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Cited by 7 (0 self)
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The majority of general purpose mechanised proof assistants support versions of typed higher order logic, even though set theory is the standard foundation for mathematics. For many applications higher order logic works well and provides, for specification, the benefits of typechecking that are wellknown in programming. However, there are areas where types get in the way or seem unmotivated. Furthermore, most people with a scientific or engineering background already know set theory, but not higher order logic. This paper discusses some approaches to getting the best of both worlds: the expressiveness and standardness of set theory with the efficient treatment of functions provided by typed higher order logic.
Modeling a Hardware Synthesis Methodology in Isabelle
 In Theorem Proving in Higher Order Logics (TPHOLs'96), volume 1125 of LNCS
, 1996
"... . Formal Synthesis is a methodology developed at Kent for combining circuit design and verification, where a circuit is constructed from a proof that it meets a given formal specification. We have reinterpreted this methodology in Isabelle's theory of higherorder logic so that circuits are inc ..."
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Cited by 6 (4 self)
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. Formal Synthesis is a methodology developed at Kent for combining circuit design and verification, where a circuit is constructed from a proof that it meets a given formal specification. We have reinterpreted this methodology in Isabelle's theory of higherorder logic so that circuits are incrementally built during proofs using higherorder resolution. Our interpretation simplifies and extends Formal Synthesis both conceptually and in implementation. It also supports integration of this development style with other proofbased synthesis methodologies and leads to techniques for developing new classes of circuits, e.g., recursive descriptions of parametric designs. Keywords: Hardware verification and synthesis, theorem proving, higherorder logic, higherorder unification. 1. Introduction Verification by formal proof is time intensive and this is a burden in bringing formal methods into software and hardware design. One approach to reducing the verification burden is to combine develop...
Some Normalization Properties of MartinLof's Type Theory, and Applications
 in Proc. 1st Internat. Conf. on Theoretical Aspects of Computer Software, Lecture Notes in Computer Science
, 1991
"... For certain kinds of applications of type theories, the faithfulness of formalization in the theory depends on intensional, or structural, properties of objects constructed in the theory. For type theories such as LF, such properties can be established via an analysis of normal forms and types. In t ..."
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Cited by 3 (1 self)
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For certain kinds of applications of type theories, the faithfulness of formalization in the theory depends on intensional, or structural, properties of objects constructed in the theory. For type theories such as LF, such properties can be established via an analysis of normal forms and types. In type theories such as Nuprl or MartinLof's polymorphic type theory, which are much more expressive than LF, the underlying programming language is essentially untyped, and terms proved to be in types do not necessarily have normal forms. Nevertheless, it is possible to show that for MartinLof's type theory, and a large class of extensions of it, a sufficient kind of normalization property does in fact hold in certain wellbehaved subtheories. Applications of our results include the use of the type theory as a logical framework in the manner of LF, and an extension of the proofsasprograms paradigm to the synthesis of verified computer hardware. For the latter application we point out some ...
Implementation of the Veritas Design Logic
 Proc. of the International Conference on Theorem Provers in Circuit Design: Theory, Practice and Experience
, 1992
"... Veritas is a design logic that provides dependent types and subtypes. It is implemented within the functional programming language Haskell. Interesting aspects of this implementation, in particular those relating to dependent types, to the representation of terms and signatures, to syntactic variant ..."
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Cited by 2 (0 self)
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Veritas is a design logic that provides dependent types and subtypes. It is implemented within the functional programming language Haskell. Interesting aspects of this implementation, in particular those relating to dependent types, to the representation of terms and signatures, to syntactic variants (controlled by attributes) and to a concrete notation for derivations are discussed.
devant le jury composé de:
, 2006
"... dans l’école doctorale de Mathématiques, Sciences et Technologies de ..."
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