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文章基本信息

  • 标题:Finite-State Complexity and the Size of Transducers
  • 本地全文:下载
  • 作者:Cristian Calude ; Kai Salomaa ; Tania Roblot
  • 期刊名称:Electronic Proceedings in Theoretical Computer Science
  • 电子版ISSN:2075-2180
  • 出版年度:2010
  • 卷号:31
  • 页码:38-47
  • DOI:10.4204/EPTCS.31.6
  • 出版社:Open Publishing Association
  • 摘要:Finite-state complexity is a variant of algorithmic information theory obtained by replacing Turing machines with finite transducers. We consider the state-size of transducers needed for minimal descriptions of arbitrary strings and, as our main result, we show that the state-size hierarchy with respect to a standard encoding is infinite. We consider also hierarchies yielded by more general computable encodings.
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