Process algebra and Markov chains

E. Brinksma, H. Hermanns

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    43 Citations (Scopus)


    This paper surveys and relates the basic concepts of process algebra and the modelling of continuous time Markov chains. It provides basic introductions to both fields, where we also study the Markov chains from an algebraic perspective, viz. that of Markov chain algebra. We then proceed to study the interrelation of reactive processes and Markov chains in this setting, and introduce the algebra of Interactive Markov Chains as an orthogonal extension of both process and Markov chain algebra. We conclude with comparing this approach to related (Markovian) stochastic process algebras by analysing the algebraic principles that they support.
    Original languageEnglish
    Title of host publicationLectures on formal methods and performance analysis : first EEF/Euro summer school on trends in computer science, Berg en Dal, The Netherlands, July 3-7, 2000, revised lectures
    EditorsE. Brinksma, H. Hermanns, J.P. Katoen
    ISBN (Print)3-540-42479-2
    Publication statusPublished - 2001

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743


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