Complex computational systems — such as pervasive, adaptive, and self-organising ones — typically rely on simple yet expressive coordination mechanisms: this is why coordination models and languages can be exploited as the sources of the essential abstractions and mechanisms to build such systems. While the features of tuple-based models make them well suited for complex system coordination, they lack the probabilistic mechanisms for modelling the stochastic behaviours typically required by adaptivity and self-organisation. To this end, in this paper we explicitly introduce uniform primitives as a probabilistic specialisation of standard tuple-based coordination primitives, replacing don’t know non-determinism with uniform distribution. We define their semantics and discuss their expressiveness and their impact on system predictability.

Tuple-based Coordination of Stochastic Systems with Uniform Primitives

MARIANI, STEFANO;OMICINI, ANDREA
2013

Abstract

Complex computational systems — such as pervasive, adaptive, and self-organising ones — typically rely on simple yet expressive coordination mechanisms: this is why coordination models and languages can be exploited as the sources of the essential abstractions and mechanisms to build such systems. While the features of tuple-based models make them well suited for complex system coordination, they lack the probabilistic mechanisms for modelling the stochastic behaviours typically required by adaptivity and self-organisation. To this end, in this paper we explicitly introduce uniform primitives as a probabilistic specialisation of standard tuple-based coordination primitives, replacing don’t know non-determinism with uniform distribution. We define their semantics and discuss their expressiveness and their impact on system predictability.
2013
From Objects to Agents
8
15
Stefano Mariani; Andrea Omicini
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/256522
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