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  • 标题:Compositional metric reasoning with Probabilistic Process Calculi
  • 本地全文:下载
  • 作者:Daniel Gebler ; Simone Tini ; Kim Larsen
  • 期刊名称:Logical Methods in Computer Science
  • 印刷版ISSN:1860-5974
  • 电子版ISSN:1860-5974
  • 出版年度:2016
  • 卷号:12
  • 期号:4
  • 页码:1
  • DOI:10.2168/LMCS-12(4:12)2016
  • 出版社:Technical University of Braunschweig
  • 摘要:We study which standard operators of probabilistic process calculi allow for compositional reasoning with respect to bisimulation metric semantics. We argue that uniform continuity (generalizing the earlier proposed property of non-expansiveness) captures the essential nature of compositional reasoning and allows now also to reason compositionally about recursive processes. We characterize the distance between probabilistic processes composed by standard process algebra operators. Combining these results, we demonstrate how compositional reasoning about systems specified by continuous process algebra operators allows for metric assume-guarantee like performance validation.
  • 其他关键词:probabilistic process algebra, bisimulation metric semantics, compositional reasoning, uniform continuity.
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