Abstract
Stochastic process algebras extend classical process algebras such as CCS [1] and CSP [2] with quantified notions of time and probability. Examples include PEPA [3], EMPA [4], MoDeST [5] and IMC [6]. These formalisms retain the compositional structure of classical process algebras and the additional information captured within the model allows analysis to investigate additional properties such as dynamic behaviour and resource usage.
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Hillston, J. (2010). Process Algebras for Collective Dynamics. In: Bolduc, C., Desharnais, J., Ktari, B. (eds) Mathematics of Program Construction. MPC 2010. Lecture Notes in Computer Science, vol 6120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13321-3_3
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DOI: https://doi.org/10.1007/978-3-642-13321-3_3
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