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Language Recognition by Reversible Partitioned Cellular Automata

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8996))

Abstract

We investigate the language accepting capability of one-dimensional reversible partitioned cellular automata (RPCAs). It is well known that bounded cellular automata (CAs) are equivalent to deterministic linear-bounded automata (DLBAs) in their language accepting capability. Here, we prove RPCAs are also equivalent to them by showing a construction method of an RPCA that simulates a given DLBA. Thus, the reversibility constraint does not decrease the ability of PCAs.

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Acknowledgement

This work was supported by JSPS KAKENHI Grant Number 24500017.

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Correspondence to Kenichi Morita .

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Morita, K. (2015). Language Recognition by Reversible Partitioned Cellular Automata. In: Isokawa, T., Imai, K., Matsui, N., Peper, F., Umeo, H. (eds) Cellular Automata and Discrete Complex Systems. AUTOMATA 2014. Lecture Notes in Computer Science(), vol 8996. Springer, Cham. https://doi.org/10.1007/978-3-319-18812-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-18812-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18811-9

  • Online ISBN: 978-3-319-18812-6

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