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Composition and Refinement of Probabilistic Real-Time Systems

  • Zhiming Liu
  • Jens Nordahl
  • Erling Vagn Sørensen
Conference paper

Abstract

In this paper we illustrate, by way of examples, composition, analysis and refinement of systems modelled by means of probabilistic automata behaving as Markov chains over discrete time. For a formalised and general treatment of these ideas the reader is referred to [6].

Keywords

Parallel Composition Matrix Expression Probability Matrice Primitive State State Flame 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag London Limited 1993

Authors and Affiliations

  • Zhiming Liu
    • 1
  • Jens Nordahl
    • 2
  • Erling Vagn Sørensen
    • 2
  1. 1.Department of Computer ScienceUniversity of WarwickEngland
  2. 2.Department of Computer ScienceTechnical University of DenmarkDenmark

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