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Publikationer från Umeå universitet
Conference object . 2011 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2011
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Term Graph Rewriting and Parallel Term Rewriting

Authors: CORRADINI, ANDREA; DREWES F.;

Term Graph Rewriting and Parallel Term Rewriting

Abstract

The relationship between Term Graph Rewriting and Term Rewriting is well understood: a single term graph reduction may correspond to several term reductions, due to sharing. It is also known that if term graphs are allowed to contain cycles, then one term graph reduction may correspond to infinitely many term reductions. We stress that this fact can be interpreted in two ways. According to the "sequential interpretation", a term graph reduction corresponds to an infinite sequence of term reductions, as formalized by Kennaway et.al. using strongly converging derivations over the complete metric space of infinite terms. Instead according to the "parallel interpretation" a term graph reduction corresponds to the parallel reduction of an infinite set of redexes in a rational term. We formalize the latter notion by exploiting the complete partial order of infinite and possibly partial terms, and we stress that this interpretation allows to explain the result of reducing circular redexes in several approaches to term graph rewriting.

In Proceedings TERMGRAPH 2011, arXiv:1102.2268

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Computer Sciences, QA75.5-76.95, Logic in Computer Science (cs.LO), Datavetenskap (datalogi), Electronic computers. Computer science, QA1-939, F.4.2, Mathematics

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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!
1
Average
Average
Average
Green
gold