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Theoretical Computer Science
Article
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 1984
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 1984 . Peer-reviewed
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Article . 1984
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Closures and fairness in the semantics of programming logic

Authors: Jean-Louis Lassez; Michael J. Maher;

Closures and fairness in the semantics of programming logic

Abstract

Using the techniques of closures and chaotic iterations of P. Cousot and R. Cousot, the authors give a semantics to logic programs and then study some fixed point theorems, denotational semantics and the like. The final section is devoted to an extension of the characterization of SLD finite failure given by \textit{K. R. Apt} and \textit{M. H. van Emden} [J. Assoc. Comput. Mach. 29, 841-862 (1982; Zbl 0483.68004)].

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Keywords

Specification and verification (program logics, model checking, etc.), SLD resolution, Logic programming, semantics, chaotic iterations, SLD resolution, finite failure, Prolog, General topics in the theory of software, fixed point theorems, Theoretical Computer Science, logic programs, Abstract data types; algebraic specification, denotational semantics, Computer Science(all)

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selected citations
These citations are derived from selected sources.
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!
84
Average
Top 1%
Top 10%
hybrid