Metrics for Action-labelled Quantitative Transition Systems

  • Authors:
  • Yuxin Deng;Tom Chothia;Catuscia Palamidessi;Jun Pang

  • Affiliations:
  • INRIA Sophia-Antipolis and Université Paris 7, France;LIX, École Polytechnique, France;INRIA Futurs and LIX, École Polytechnique, France;INRIA Futurs and LIX, École Polytechnique, France

  • Venue:
  • Electronic Notes in Theoretical Computer Science (ENTCS)
  • Year:
  • 2006

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Abstract

This paper defines action-labelled quantitative transition systems as a general framework for combining qualitative and quantitative analysis. We define state-metrics as a natural extension of bisimulation from non-quantitative systems to quantitative ones. We then prove that any single state-metric corresponds to a bisimulation and that the greatest state-metric corresponds to bisimilarity. Furthermore, we provide two extended examples which show that our results apply to both probabilistic and weighted automata as special cases of action-labelled quantitative transition systems.