RAIRO-Theor. Inf. Appl.
Volume 55, 2021
11th Workshop on Non-classical Models of Automata and Applications (NCMA 2019)
|Number of page(s)||31|
|Published online||22 July 2021|
On restarting automata with auxiliary symbols and small window size*
Charles University, Faculty of Mathematics and Physics,
Malostranské nám. 25,
Prague 1, Czech Republic.
2 Fachbereich Elektrotechnik/Informatik, Universität Kassel, 34109 Kassel, Germany.
** Corresponding author: email@example.com
Accepted: 29 April 2021
Here we show that for monotone RWW- (and RRWW-) automata, window size two is sufficient, both in the nondeterministic as well as in the deterministic case. For the former case, this is done by proving that each context-free language is already accepted by a monotone RWW-automaton of window size two. In the deterministic case, we first prove that each deterministic pushdown automaton can be simulated by a deterministic monotone RWW-automaton of window size three, and then we present a construction that transforms a deterministic monotone RWW-automaton of window size three into an equivalent automaton of the same type that has window size two. Furthermore, we study the expressive power of shrinking RWW- and RRWW-automata the window size of which is just one or two. We show that for shrinking RRWW-automata that are nondeterministic, window size one suffices, while for nondeterministic shrinking RWW-automata, we already need window size two to accept all growing context-sensitive languages. In the deterministic case, shrinking RWW- and RRWW-automata of window size one accept only regular languages, while those of window size two characterize the Church-Rosser languages.
Mathematics Subject Classification: 68Q45 / 68Q42
Key words: Restarting automaton / window size / weight function / language class
© The authors. Published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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