Integrating Probability with Time and Shared-Variable Concurrency

Huibiao Zhu, Shengchao Qin, Jifeng He, Jonathan Bowen

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Abstract

Complex software systems typically involve features like time, concurrency and probability, where probabilistic computations play an increasing role. It is challenging to formalize languages comprising all these features. In this paper, we integrate probability, time and concurrency in one single model, where the concurrency feature is modelled using shared-variable based communication. The probability feature is represented by a probabilistic nondeterministic choice, probabilistic guarded choice and a probabilistic version of parallel composition. We formalize an operational semantics for such an integration. Based on this model we define a bisimulation relation, from which an observational equivalence between probabilistic programs is investigated and a collection of algebraic laws are explored. We also implement a prototype of the operational semantics to animate the execution of probabilistic programs.
Original languageEnglish
Title of host publicationProceedings of the 30th annual IEEE/NASA software engineering workshop, SEW-30
Place of PublicationCalifornia
PublisherIEEE
Pages179-189
DOIs
Publication statusPublished - 2006
Event30th Annual IEEE/NASA Software Engineering Workshop - Columbia, United States
Duration: 24 Apr 200628 Apr 2006
Conference number: 30

Conference

Conference30th Annual IEEE/NASA Software Engineering Workshop
Abbreviated titleSEW-30
Country/TerritoryUnited States
CityColumbia
Period24/04/0628/04/06

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