Volume and Entropy of Regular Timed Languages: Discretization Approach

  • Authors:
  • Eugene Asarin;Aldric Degorre

  • Affiliations:
  • LIAFA, Université Paris Diderot / CNRS, Paris Cedex 13, France 75205;VERIMAG, Centre Equation, Gières, France 38610

  • Venue:
  • CONCUR 2009 Proceedings of the 20th International Conference on Concurrency Theory
  • Year:
  • 2009

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Abstract

For timed languages, we define size measures: volume for languages with words having a fixed finite number of events, and entropy (growth rate) as asymptotic measure for an unbounded number of events. These measures can be used for quantitative comparison of languages, and the entropy can be viewed as the information contents of a timed language. For languages accepted by deterministic timed automata, we give exact formulas for volumes. Next, for a large class of timed languages accepted by non-Zeno timed automata, we devise a method to approximate the volumes and the entropy based on discretization. We give an information-theoretic interpretation of the entropy in terms of Kolmogorov complexity.