Probabilistic Modular Embedding for Stochastic Coordinated Systems


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Stefano Mariani, Andrea Omicini

Christine Julien, Rocco De Nicola (eds.)
“Coordination Models and Languages”, pages 151-165
Lecture Notes in Computer Science 7890
Springer
June 2013

~Embedding~ and ~modular embedding~ are two well-known techniques for measuring and comparing the expressiveness of languages—sequential and concurrent programming languages, respectively.
The emergence of new classes of computational systems featuring stochastic behaviours — such as pervasive, adaptive, self-organising systems — requires new tools for probabilistic languages.
In this paper, we recall and refine the notion of ~probabilistic modular embedding~ (PME) as an extension to modular embedding meant to capture the expressiveness of stochastic systems, and show its application to different coordination languages providing probabilistic mechanisms for stochastic systems.

(keywords) embedding, modular embedding, concurrent languages, coordination languages, probabilistic languages and systems, tuple-based languages

Journals & Series

Events

  • 15th International Conference on Coordination Models and Languages (COORDINATION 2013) — 03/06/2013–06/06/2013

Publication

— editors

Christine Julien, Rocco De Nicola

— status

published

— sort

paper in proceedings

— publication date

June 2013

— volume title

Coordination Models and Languages

— series

Lecture Notes in Computer Science

— volume

7890

— pages

151-165

— location

Florence, Italy

— organisation

IFIP International Federation for Information Processing

URLs

original page

identifiers

— IRIS

11585/256509

— WoS / ISI

000412579600011

— ISSN

0302-9743

— E-ISSN

1611-3349

— ISBN

978-3-642-38492-9

notes

— note

15th International Conference (COORDINATION 2013), Florence, Italy, 3-6 June 2013. Proceedings

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