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Processus non-sequentiels et leurs observations en univers non-centralise

Authors: Ph. Darondeau;

Processus non-sequentiels et leurs observations en univers non-centralise

Abstract

Nous etudions l'impact de la non-centralisation sur la nature des processus. La caracteristique majeure d'un univers non-centralise est la regle d'incertitude sur les dates des evenements d'un processus non-sequentiel, pour tout observateur de ce processus. Considerant cette caracteristique, le probleme aborde est le suivant : quelles sont les definitions les moins restrictives des concepts de processus et d'observations de processus assurant l'isomorphisme de l'ensemble des processus et de l'ensemble de leurs observations ? L'etude de cette question nous amene a construire un modele de processus non sequentiels a observations non-sequentielles, recueillies par des observateurs sequentiels. Nous montrons que la notion d'observation proposee, indispensable en univers non-centralise, permet de definir une classe de processus qui etend la classe des processus non-sequentiels a observations sequentielles. Nous comparons les proprietes des processus ainsi definis a celles des "domaines concrets".

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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
Top 10%
Average
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