2,625 research outputs found
Combinatory logic: from philosophy and mathematics to computer science
In 1920, Moses Schönfinkel provided the first rough details of what later became
known as combinatory logic. This endeavour was part of Hilbert’s program to
formulate mathematics as a consistent logic system based on a finite set of axioms
and inference rules. This program’s importance to the foundations and
philosophical aspects of mathematics is still celebrated today. In the 1930s, Haskell
Curry furthered Schönfinkel’s work on combinatory logic, attempting – and failing –
to show that it can be used as a foundation for mathematics. However, in 1947, he
described a high-level functional programming language based on combinatory
logic. Research on functional programming languages continued, reaching a high
point in the eighties. However, by this time, object-oriented programming
languages began taking over and functional languages started to lose their appeal.
Lately, however, a resurgence of functional languages is being noted. Indeed, many
of the commonly-used programming languages nowadays incorporate functional
programming elements in them, while functional languages such as Haskell, OCaml
and Erlang are gaining in popularity. Thanks to this revival, it is appropriate to
breathe new life into combinatory logic by presenting its main ideas and
techniques in this paper.peer-reviewe
Categorical combinators
Our main aim is to present the connection between λ-calculus and Cartesian closed categories both in an untyped and purely syntactic setting. More specifically we establish a syntactic equivalence theorem between what we call categorical combinatory logic and λ-calculus with explicit products and projections, with β and η-rules as well as with surjective pairing. “Combinatory logic” is of course inspired by Curry's combinatory logic, based on the well-known S, K, I. Our combinatory logic is “categorical” because its combinators and rules are obtained by extracting untyped information from Cartesian closed categories (looking at arrows only, thus forgetting about objects). Compiling λ-calculus into these combinators happens to be natural and provokes only n log n code expansion. Moreover categorical combinatory logic is entirely faithful to β-reduction where combinatory logic needs additional rather complex and unnatural axioms to be. The connection easily extends to the corresponding typed calculi, where typed categorical combinatory logic is a free Cartesian closed category where the notion of terminal object is replaced by the explicit manipulation of applying (a function to its argument) and coupling (arguments to build datas in products). Our syntactic equivalences induce equivalences at the model level. The paper is intended as a mathematical foundation for developing implementations of functional programming languages based on a “categorical abstract machine,” as developed in a companion paper (Cousineau, Curien, and Mauny, in “Proceedings, ACM Conf. on Functional Programming Languages and Computer Architecture,” Nancy, 1985)
Control Flow Analysis for SF Combinator Calculus
Programs that transform other programs often require access to the internal
structure of the program to be transformed. This is at odds with the usual
extensional view of functional programming, as embodied by the lambda calculus
and SK combinator calculus. The recently-developed SF combinator calculus
offers an alternative, intensional model of computation that may serve as a
foundation for developing principled languages in which to express intensional
computation, including program transformation. Until now there have been no
static analyses for reasoning about or verifying programs written in
SF-calculus. We take the first step towards remedying this by developing a
formulation of the popular control flow analysis 0CFA for SK-calculus and
extending it to support SF-calculus. We prove its correctness and demonstrate
that the analysis is invariant under the usual translation from SK-calculus
into SF-calculus.Comment: In Proceedings VPT 2015, arXiv:1512.0221
Mixin Composition Synthesis based on Intersection Types
We present a method for synthesizing compositions of mixins using type
inhabitation in intersection types. First, recursively defined classes and
mixins, which are functions over classes, are expressed as terms in a lambda
calculus with records. Intersection types with records and record-merge are
used to assign meaningful types to these terms without resorting to recursive
types. Second, typed terms are translated to a repository of typed combinators.
We show a relation between record types with record-merge and intersection
types with constructors. This relation is used to prove soundness and partial
completeness of the translation with respect to mixin composition synthesis.
Furthermore, we demonstrate how a translated repository and goal type can be
used as input to an existing framework for composition synthesis in bounded
combinatory logic via type inhabitation. The computed result is a class typed
by the goal type and generated by a mixin composition applied to an existing
class
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