Probabilistic Modular Embedding for Stochastic Coordinated Systems

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

keywordsembedding, modular embedding, concurrent languages, coordination languages, probabilistic languages and systems, tuple-based languages
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page_white_powerpointProbabilistic Modular Embedding for Stochastic Coordinated Systems (COORDINATION 2013, 04/06/2013) — Stefano Mariani (Andrea Omicini, Stefano Mariani)