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Tales of Spatiality in stochastic Concurrent Constraint Programming

Authors: BORTOLUSSI, LUCA; POLICRITI A.;

Tales of Spatiality in stochastic Concurrent Constraint Programming

Abstract

Stochastic Concurrent Constraint Programming (sCCP) extends CCP with a stochastic semantics in continuous time. As such, it can be used to model biological systems. The characterizing feature of sCCP is its exibility, given by the computational and reasoning capabilities of the constraint store. In this paper we discuss how such features can be used to model biological systems involving dierent notions of spatiality, from compartmentalization to the position of each molecule.

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Italy
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Keywords

Computational Systems Biology, Stochastic Concurrent Constraint Programming, Stochastic Concurrent Constraint Programming; Dynamical compartments modelling; Computational Systems Biology, Dynamical compartments modelling

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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!
0
Average
Average
Average
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