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Language recognition power and succinctness of affine automata

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9 Citations (Scopus)

Abstract

In this work we study a non-linear generalization based on affine transformations of probabilistic and quantum automata proposed recently by Díaz-Caro and Yakaryılmaz [6] referred as affine automata. First, we present efficient simulations of probabilistic and quantum automata by means of affine automata which allows us to characterize the class of exclusive stochastic languages. Then, we initiate a study on the succintness of affine automata. In particular, we show that an infinite family of unary regular languages can be recognized by 2-state affine automata, whereas the number of states of any quantum and probabilistic automata cannot be bounded. Finally, we present the characterization of all (regular) unary languages recognized by two-state affine automata.

Original languageEnglish
Title of host publicationUnconventional Computation and Natural Computation - 15th International Conference, UCNC 2016, Proceedings
EditorsAnne Condon, Martyn Amos
PublisherSpringer Verlag
Pages116-129
Number of pages14
ISBN (Print)9783319413112
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event15th International Conference on Unconventional Computation and Natural Computation, UCNC 2016 - Manchester, United Kingdom
Duration: 11 Jul 201615 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9726
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Unconventional Computation and Natural Computation, UCNC 2016
Country/TerritoryUnited Kingdom
CityManchester
Period11/07/1615/07/16

Keywords

  • Affine automata
  • Bounded-error
  • One-sided error
  • Probabilistic automata
  • Quantum automata
  • State complexity
  • Stochastic language

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