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Integrating probability with time and shared-variable concurrency

  • Department of Computer Science
  • Durham University
  • Centre for Applied Formal Methods
  • London South Bank University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言英语
主期刊名Proceedings of the 30th Annual IEEE/NASA Software Engineering Workshop, SEW-30
页179-189
页数11
DOI
出版状态已出版 - 2006
活动30th Annual IEEE/NASA Software Engineering Workshop, SEW-30 - Columbia, MD, 美国
期限: 24 4月 2006 → 28 4月 2006

丛书

姓名Proceedings of the 30th Annual IEEE/NASA Software Engineering Workshop, SEW-30

会议

会议30th Annual IEEE/NASA Software Engineering Workshop, SEW-30
国家/地区美国
市Columbia, MD
时期24/04/06 → 28/04/06

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