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A simple rewrite notion for call-time choice semantics

Authors: Francisco Javier López-Fraguas; Juan Rodríguez-Hortalá; Jaime Sánchez-Hernández;

A simple rewrite notion for call-time choice semantics

Abstract

Non-confluent and non-terminating rewrite systems are interesting from the point of view of programming. In particular, existing functional logic languages use such kind of rewrite systems to define possibly non-strict non-deterministic functions. The semantics adopted for non-determinism is call-time choice, whose combination with non-strictness is not a trivial issue that has been addressed from a semantic point of view in the Constructor-based Rewriting Logic (CRWL) framework. We investigate here how to express call-time choice and non-strict semantics from a point of view closer to classical rewriting. The proposed notion of rewriting uses an explicit representation for sharing with let-constructions and is proved to be equivalent to the CRWL approach. Moreover, we relate this let-rewriting relation (and hence CRWL) with ordinary rewriting, providing in particular soundness and completeness of let-rewriting with respect to rewriting for a class of programs which are confluent in a certain semantic sense.

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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!
14
Average
Top 10%
Average