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Stochastic Causality-Based Process Algebra

机译:基于随机因果关系的过程代数

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This paper discusses stochastic extensions of a simple process algebra in acausality-based setting. A simple stochastic type of event structures is discussed, restricting the distribution functions to be exponential. A corresponding operational semantics of this model is given and compared to existing (interleaved) approaches. Secondly, a stochastic variant of event structures is discussed where distributions are of a much more general nature, viz. of phase-type. This includes exponential, Erlang, Coxian, and mixtures of exponential distributions.

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