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.
Probabilistic Modular Embedding for Stochastic Coordinated Systems / Stefano Mariani; Andrea Omicini. - STAMPA. - 7890:(2013), pp. 151-165. (Intervento presentato al convegno 15th International Conference on Coordination Models and Languages (COORDINATION 2013) tenutosi a Florence, Italy nel 03/06/2013 – 06/06/2013) [10.1007/978-3-642-38493-6_11].
Probabilistic Modular Embedding for Stochastic Coordinated Systems
MARIANI, STEFANO;OMICINI, ANDREA
2013
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
