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Article
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Journal of Logic and Computation
Article . 1993 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Unbounded Non-determinism in CSP

Unbounded non-determinism in CSP
Authors: A. W. Roscoe 0001;

Unbounded Non-determinism in CSP

Abstract

Summary: We show how the standard failures/divergences model for CSP can be extended by adding to each process' representation the set of all infinite traces it can perform. This allows a full and compositional treatment of unboundedly non-deterministic constructs such as \(\sqcap S\) and \(P\backslash X\) for infinite \(S\) and \(X\). By allowing unbounded non- determinism we lose two of the main properties of semantics we have become used to: completeness of the model and continuity of the language constructs. Thus the existence and analysis of fixed points required for recursion becomes much less straightforward than we are used to. A novel technique is used to demonstrate the existence of the fixed points: an operational semantics is constructed for unboundedly non-deterministic CSP and proved congruent to the denotational one. A corollary to this proof is the existence of the required fixed points. It also demonstrates that the least fixed point remains the natural denotation of a recursion, even though recursions no longer reach their fixed points in \(\omega\) iterations from \(\perp\).

Related Organizations
Keywords

CSP, completeness, fixed points, infinite traces, recursion, operational semantics, Semantics in the theory of computing, unbounded non-determinism

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    influence
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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!
24
Average
Top 1%
Top 10%
bronze