• DocumentCode
    3112551
  • Title

    A Contraction Method to Decide MSO Theories of Deterministic Trees

  • Author

    Montanari, Angelo ; Puppis, Gabriele

  • Author_Institution
    Univ. di Udine, Udine
  • fYear
    2007
  • fDate
    10-14 July 2007
  • Firstpage
    141
  • Lastpage
    150
  • Abstract
    In this paper we generalize the contraction method, originally proposed by Elgot and Rabin and later extended by Carton and Thomas, from labeled linear orderings to colored deterministic trees. The method we propose rests on a suitable notion of indistinguishability of trees with respect to tree automata that allows us to reduce a number of instances of the acceptance problem for tree automata to decidable instances involving regular trees. We prove that such a method works effectively for a large class of trees, which is closed under noticeable operations and includes all the deterministic trees of the Caucal hierarchy obtained via unfoldings and inverse finite mappings as well as several trees outside such a hierarchy.
  • Keywords
    deterministic automata; finite automata; trees (mathematics); Caucal hierarchy; acceptance problem; colored deterministic trees; contraction method; decide MSO theories; inverse finite mappings; labeled linear orderings; monadic second-order logic; tree automata; Automata; Binary trees; Cost accounting; Logic; Periodic structures; Specification languages; Tree data structures; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science, 2007. LICS 2007. 22nd Annual IEEE Symposium on
  • Conference_Location
    Wroclaw
  • ISSN
    1043-6871
  • Print_ISBN
    0-7695-2908-9
  • Type

    conf

  • DOI
    10.1109/LICS.2007.6
  • Filename
    4276559