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The Journal of Logic Programming
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License: Elsevier Non-Commercial
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The Journal of Logic Programming
Article . 1987
License: Elsevier Non-Commercial
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The Journal of Logic Programming
Article . 1987 . Peer-reviewed
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A program transformation from equational programs into logic programs

Authors: Shoichi Noguchi; Atsushi Togashi;

A program transformation from equational programs into logic programs

Abstract

In the last few years, substantial efforts have been made towards developing equational programming languages and logic programming languages: the so-called descriptive languages. The languages of both types are based on mathematical systems and to a certain extent resemble each other. This is a clue to the possibility of program transformation from one type to the other. An equational language concerns algebraic specifications of abstract data types and recursive program schemes. Thus, the transformation may introduce the notions of data abstraction and computation strategies into logic programming languages. In this paper, we propose a transformation algorithm that transforms equational programs into logic programs. For our purpose, we have extended the programming language PROLOG, which has been widely cited in related literature as a promising language, to a logic programming language based on a new computation model. We have shown that the algorithm transforms any equational program into an equal or more powerful logic program. For a recursive equational program, there exists a Horn program with equivalent computational power.

Related Organizations
Keywords

Specification and verification (program logics, model checking, etc.), PROLOG, Logic, algebraic specifications of abstract data types and recursive program schemes, equational programming languages, General topics in the theory of software, descriptive languages, recursive equational program, Horn program, logic programming languages, data abstraction, computation strategies

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Average
Average
hybrid