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Integrating probability with time and shared-variable concurrency.

Zhu, H. and Qin, S. and He, J. and Bowen, J. (2006) 'Integrating probability with time and shared-variable concurrency.', in 30th Annual IEEE/NASA Software Engineering Workshop, SEW-30, 24-28 April 2005, Columbia, Maryland ; proceedings. Los Alamitos, CA: IEEE, pp. 179-189.

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

Item Type:Book chapter
Full text:PDF - Published Version (199Kb)
Status:Peer-reviewed
Publisher Web site:http://dx.doi.org/10.1109/SEW.2006.22
Publisher statement:© 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Record Created:17 Nov 2009 12:35
Last Modified:08 Nov 2010 12:07

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