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INRIA2
Part of book or chapter of book . 2010
Data sources: INRIA2
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INRIA a CCSD electronic archive server
Part of book or chapter of book . 2010
Data sources: INRIA a CCSD electronic archive server
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École Polytechnique, Université Paris-Saclay: HAL
Part of book or chapter of book . 2010
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Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna
Part of book or chapter of book . 2010
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Part of book or chapter of book . 2010 . Peer-reviewed
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Concurrent and Reactive Constraint Programming

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 01 Jan 2010 France, Italy Publisher:Springer Berlin Heidelberg
Authors: Gabbrielli, Maurizio; Palamidessi, Catuscia; Valencia, Frank;

doi: 10.1007/978-3-642-14309-0_11

handle: 11585/94736

Concurrent and Reactive Constraint Programming

Abstract

The Italian Logic Programming community has given several contributions to the theory of Concurrent Constraint Programming. In particular, in the topics of semantics, verification, and timed extensions. In this paper we review the main lines of research and contributions of the community in this field

Countries
France, Italy
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Keywords

[INFO.INFO-DC]Computer Science [cs]/Distributed, and Cluster Computing [cs.DC], Concurrency Theory, D.3.2, F.4.3, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Concurrent Constraint Programming, Parallel, 004, Process Calculi

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
2
Average
Average
Average
Green
Related to Research communities
INRIA