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Fluid Model Checking

  • Conference paper
CONCUR 2012 – Concurrency Theory (CONCUR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7454))

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Abstract

In this paper we investigate a potential use of fluid approximation techniques in the context of stochastic model checking of CSL formulae. We focus on properties describing the behaviour of a single agent in a (large) population of agents, exploiting a limit result known also as fast simulation. In particular, we will approximate the behaviour of a single agent with a time-inhomogeneous CTMC which depends on the environment and on the other agents only through the solution of the fluid differential equation. We will prove the asymptotic correctness of our approach in terms of satisfiability of CSL formulae and of reachability probabilities. We will also present a procedure to model check time-inhomogeneous CTMC against CSL formulae.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Geosciences, University of Trieste, Italy

    Luca Bortolussi

  2. CNR/ISTI, Pisa, Italy

    Luca Bortolussi

  3. Laboratory for the Foundations of Computer Science, School of Informatics, University of Edinburgh, UK

    Jane Hillston

Authors
  1. Luca Bortolussi
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  2. Jane Hillston
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Editor information

Editors and Affiliations

  1. School of Computing Science, Newcastle University, Claremont Tower, Claremont Road, NE1 7RU, Newcastle upon Tyne, UK

    Maciej Koutny

  2. Department of Computer Science, University of Leicester, Computer Science Building, University Road, LE1 7RH, Leicester, UK

    Irek Ulidowski

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Bortolussi, L., Hillston, J. (2012). Fluid Model Checking. In: Koutny, M., Ulidowski, I. (eds) CONCUR 2012 – Concurrency Theory. CONCUR 2012. Lecture Notes in Computer Science, vol 7454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32940-1_24

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  • DOI: https://doi.org/10.1007/978-3-642-32940-1_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32939-5

  • Online ISBN: 978-3-642-32940-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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