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Electronic Notes in Theoretical Computer Science
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http://dx.doi.org/10.1016/S157...
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On the Expressive Power of Joint Input

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Contribution for newspaper or weekly magazine 01 Jan 1998 Denmark English Publisher:Elsevier BVJournal:Electronic Notes in Theoretical Computer Science, volume 16, pages 145-152 (issn: 1571-0661, Copyright policy )
Authors: Nestmann, U.;

doi: 10.1016/s1571-0661(04)00123-9

On the Expressive Power of Joint Input

Abstract

AbstractThe join-calculus was introduced as an ‘extended subset’ of the asynchronous π-calculus by amalgamating the three operators for input, restriction, and replication into a single operator, called definition, but with the additional capability to describe the atomic joint reception of values from two different channels. In this paper, we just extend the asynchronous π-calculus with joint input. By studying its expressive power, using slight variations of previously investigated choice encodings, we also conclude on the expressiveness of the join-calculus.

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Denmark
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Theoretical Computer Science, 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!
12
Average
Top 10%
Average
gold
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