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Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating

Although natural and bioinspired computing has developed significantly, the relationship between the computational universality and efficiency beyond the Turing machine has not been studied in detail. Here, we investigate how asynchronous updating can contribute to the universal and efficient comput...

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Detalles Bibliográficos
Autores principales: Gunji, Yukio-Pegio, Uragami, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597122/
https://www.ncbi.nlm.nih.gov/pubmed/33286818
http://dx.doi.org/10.3390/e22091049
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author Gunji, Yukio-Pegio
Uragami, Daisuke
author_facet Gunji, Yukio-Pegio
Uragami, Daisuke
author_sort Gunji, Yukio-Pegio
collection PubMed
description Although natural and bioinspired computing has developed significantly, the relationship between the computational universality and efficiency beyond the Turing machine has not been studied in detail. Here, we investigate how asynchronous updating can contribute to the universal and efficient computation in cellular automata (CA). First, we define the computational universality and efficiency in CA and show that there is a trade-off relation between the universality and efficiency in CA implemented in synchronous updating. Second, we introduce asynchronous updating in CA and show that asynchronous updating can break the trade-off found in synchronous updating. Our finding spells out the significance of asynchronous updating or the timing of computation in robust and efficient computation.
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spelling pubmed-75971222020-11-09 Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating Gunji, Yukio-Pegio Uragami, Daisuke Entropy (Basel) Article Although natural and bioinspired computing has developed significantly, the relationship between the computational universality and efficiency beyond the Turing machine has not been studied in detail. Here, we investigate how asynchronous updating can contribute to the universal and efficient computation in cellular automata (CA). First, we define the computational universality and efficiency in CA and show that there is a trade-off relation between the universality and efficiency in CA implemented in synchronous updating. Second, we introduce asynchronous updating in CA and show that asynchronous updating can break the trade-off found in synchronous updating. Our finding spells out the significance of asynchronous updating or the timing of computation in robust and efficient computation. MDPI 2020-09-19 /pmc/articles/PMC7597122/ /pubmed/33286818 http://dx.doi.org/10.3390/e22091049 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gunji, Yukio-Pegio
Uragami, Daisuke
Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating
title Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating
title_full Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating
title_fullStr Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating
title_full_unstemmed Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating
title_short Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous Updating
title_sort breaking of the trade-off principle between computational universality and efficiency by asynchronous updating
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597122/
https://www.ncbi.nlm.nih.gov/pubmed/33286818
http://dx.doi.org/10.3390/e22091049
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