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  • 标题:A Faster-Than Relation for Semi-Markov Decision Processes
  • 本地全文:下载
  • 作者:Mathias Ruggaard Pedersen ; Giorgio Bacci ; Kim Guldstrand Larsen
  • 期刊名称:Electronic Proceedings in Theoretical Computer Science
  • 电子版ISSN:2075-2180
  • 出版年度:2020
  • 卷号:312
  • 期号:PROC. QAPL 2019
  • 页码:29-42
  • DOI:10.4204/EPTCS.312.3
  • 语种:English
  • 出版社:Open Publishing Association
  • 摘要:When modeling concurrent or cyber-physical systems, non-functional requirements such as time are important to consider. In order to improve the timing aspects of a model, it is necessary to have some notion of what it means for a process to be faster than another, which can guide the stepwise refinement of the model. To this end we study a faster-than relation for semi-Markov decision processes and compare it to standard notions for relating systems. We consider the compositional aspects of this relation, and show that the faster-than relation is not a precongruence with respect to parallel composition, hence giving rise to so-called parallel timing anomalies. We take the first steps toward understanding this problem by identifying decidable conditions sufficient to avoid parallel timing anomalies in the absence of non-determinism.
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