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Electronic Notes in Theoretical Computer Science
Article . 2007 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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DBLP
Conference object . 2023
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Systems Modelling via Resources and Processes: Philosophy, Calculus, Semantics, and Logic

Authors: David J. Pym; Chris M. N. Tofts;

Systems Modelling via Resources and Processes: Philosophy, Calculus, Semantics, and Logic

Abstract

AbstractWe describe a programme of research in resource semantics, concurrency theory, bunched logic, and stochastic processes, as applied to mathematical systems modelling. Motivated by a desire for structurally and semantically rigorous discrete event modelling tools, applicable to enterprise-scale as well as component-scale systems, we introduce a new approach to compositional reasoning based on a development of SCCS with an explicit model of resource. Our calculus models the co-evolution of resources and processes with synchronization constrained by the availability of resources. We provide a simple denotational semantics as a parametrization of Abramsky's synchronization trees semantics for SCCS. We also provide a logical characterization, analogous to Hennessy-Milner logic's characterization of bisimulation in CCS, of bisimulation between resource processes which is compositional in the concurrent and local structure of systems. We discuss applications to ideas such as location and access control.

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Keywords

Resource, discrete event simulation, bunched logic, synchrony, access control, field theory, model checking, Theoretical Computer Science, process calculus, semantics, location, 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!
13
Average
Top 10%
Top 10%
gold