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  • 标题:Automata Minimization: a Functorial Approach
  • 本地全文:下载
  • 作者:Thomas Colcombet ; Daniela Petrisan
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:72
  • 页码:8:1-8:16
  • DOI:10.4230/LIPIcs.CALCO.2017.8
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:In this paper we regard languages and their acceptors - such as deterministic or weighted automata, transducers, or monoids - as functors from input categories that specify the type of the languages and of the machines to categories that specify the type of outputs. Our results are as follows: a) We provide sufficient conditions on the output category so that minimization of the corresponding automata is guaranteed. b) We show how to lift adjunctions between the categories for output values to adjunctions between categories of automata. c) We show how this framework can be applied to several phenomena in automata theory, starting with determinization and minimization (previously studied from a coalgebraic and duality theoretic perspective). We apply in particular these techniques to Choffrut's minimization algorithm for subsequential transducers and revisit Brzozowski's minimization algorithm.
  • 关键词:functor automata; minimization; Choffrut's minimization algorithm; subsequential transducers; Brzozowski's minimization algorithm
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