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  1. Research Outputs

Probabilistic modular embedding for stochastic coordinated systems

Conference Paper
Publication Date:
2013
Short description:
Probabilistic modular embedding for stochastic coordinated systems / Mariani, Stefano; Omicini, Andrea. - 7890:(2013), pp. 151-165. ( 15th International Conference on Coordination Models and Languages, COORDINATION 2013, Held as Part of the 8th International Federated Conference on Distributed Computing Techniques, DisCoTec 2013 Florence, ita 2013) [10.1007/978-3-642-38493-6_11].
abstract:
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. © 2013 IFIP International Federation for Information Processing.
Iris type:
Relazione in Atti di Convegno
Keywords:
π-calculus; coordination languages; embedding; modular embedding; probabilistic languages; Computer Science (all); Theoretical Computer Science
List of contributors:
Mariani, Stefano; Omicini, Andrea
Authors of the University:
MARIANI Stefano
Handle:
https://iris.unimore.it/handle/11380/1128250
Book title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
LECTURE NOTES IN COMPUTER SCIENCE
Series
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