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Forgetting 1-limited automata

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conference contribution
posted on 2024-01-09, 15:30 authored by Giovanni Pighizzini, Luca PrigionieroLuca Prigioniero
We introduce and investigate forgetting 1-limited automata, which are single-tape Turing machines that, when visiting a cell for the first time, replace the input symbol in it by a fixed symbol, so forgetting the original contents. These devices have the same computational power as finite automata, namely they characterize the class of regular languages. We study the cost in size of the conversions of forgetting 1-limited automata, in both nondeterministic and deterministic cases, into equivalent one-way nondeterministic and deterministic automata, providing optimal bounds in terms of exponential or superpolynomial functions. We also discuss the size relationships with two-way finite automata. In this respect, we prove the existence of a language for which forgetting 1-limited automata are exponentially larger than equivalent minimal deterministic two-way automata.

History

School

  • Science

Department

  • Computer Science

Published in

Proceedings of the 13th International Workshop on Non-Classical Models of Automata and Applications

Pages

95 - 109

Source

13th International Workshop on Non-Classical Models of Automata and Applications (NCMA 2023)

Publisher

Open Publishing Association

Version

  • VoR (Version of Record)

Rights holder

© G. Pighizzini & L. Prigioniero

Publisher statement

This is an Open Access Article. It is published by the Open Publishing Association under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Publication date

2023-09-15

Copyright date

2023

ISSN

2075-2180

eISSN

2075-2180

Book series

Electronic Proceedings in Theoretical Computer Science (EPTCS); 388

Language

  • en

Editor(s)

Benedek Nagy; Rudolf Freund

Location

Famagusta, North Cyprus

Event dates

18th September 2023 - 19th September 2023

Depositor

Dr Luca Prigioniero. Deposit date: 22 December 2023

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