Adapting Proofs-as-Programs : The Curry-Howard Protocol by Iman Poernomo, Visit Amazon's John N. Crossley Page, search

By Iman Poernomo, Visit Amazon's John N. Crossley Page, search results, Learn about Author Central, John N. Crossley, , Martin Wirsing

This monograph info numerous very important advances within the sector often called the proofs-as-programs paradigm, a suite of ways to constructing courses from proofs in confident common sense. It serves the twin objective of offering a cutting-edge evaluate of the sphere and detailing instruments and methods to stimulate additional examine. one of many book’s primary subject matters is a normal, summary framework for constructing new platforms of software synthesis via adapting proofs-as-programs to new contexts, which the authors name the Curry--Howard Protocol. This protocol is used to supply novel purposes for industrial-scale, advanced software program engineering: contractual valuable software synthesis and established software program synthesis. those functions represent an exemplary justification for the applicability of the protocol to various contexts. The publication is meant for graduate scholars in machine technological know-how or arithmetic who desire to expand their heritage in good judgment and sort thought in addition to achieve adventure operating with logical frameworks and sensible facts structures. additionally, the proofs-as-programs learn group, and the broader computational common sense, formal tools and software program engineering groups will profit. The purposes given within the ebook will be of curiosity for researchers operating within the aim challenge domain names.

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3 Specification of abstract data types The results of this chapter are parametrized with respect to a specification of abstract data types, ADT = Σ, Ax , where Σ is a signature and AX is a set of formulae from W F F (Σ). 2. Signatures are associated with a semantic structure through an interpretation function, over which, formulae can be determined to be true or false, in the usual sense. Thus our specification corresponds to a set of models — structures that are constrained to satisfy the axioms.

An ) ✄SM L ✄SM L ✄SM L ✄SM L ✄SM L ✄SM L p[a/x] b[a/x] c[a/y] a b Eval(f (a1 , . . , an )) Fig. 8. The operational semantics of our fragment of SM L. Because SML terms can be used both as programs and as terms in the logic, it is desirable to be able to reason about program evaluation using the logic. This is achieved by adding the following schema to our calculus a ✄∗SM L b (red=)[[a,b];[s]] Int a =s b where a : s and b : s are well-typed (well-sorted) terms of both SML and ADT (note the change in font to denote the respective uses).

9. The schemata rules are to be considered as a metalogical device for generating axioms in AX. This is possible when we consider each schema application of the form Γ1 Int F1 . . Γn Γ Int F Int Fn to generate an axiom ((Γ1 ⇒ F1 ) ∧ . . ∧ (Γn ⇒ Fn )) ⇒ F in AX. The generated axiom and the schema application are equivalent, because repeated application of (⇒-E) on the former simulates satisfaction of premises in the latter. Induction schemata may be provided for the data types of Σ that can be generated by constructor functions.

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