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Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos
Asynchronously tuned elementary cellular automata (AT-ECA) are described with respect to the relationship between active and passive updating, and that spells out the relationship between synchronous and asynchronous updating. Mutual tuning between synchronous and asynchronous updating can be interp...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622964/ https://www.ncbi.nlm.nih.gov/pubmed/34828074 http://dx.doi.org/10.3390/e23111376 |
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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 | Asynchronously tuned elementary cellular automata (AT-ECA) are described with respect to the relationship between active and passive updating, and that spells out the relationship between synchronous and asynchronous updating. Mutual tuning between synchronous and asynchronous updating can be interpreted as the model for dissipative structure, and that can reveal the critical property in the phase transition from order to chaos. Since asynchronous tuning easily makes behavior at the edge of chaos, the property of AT-ECA is called the unfolded edge of chaos. The computational power of AT-ECA is evaluated by the quantitative measure of computational universality and efficiency. It shows that the computational efficiency of AT-ECA is much higher than that of synchronous ECA and asynchronous ECA. |
format | Online Article Text |
id | pubmed-8622964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86229642021-11-27 Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos Gunji, Yukio-Pegio Uragami, Daisuke Entropy (Basel) Article Asynchronously tuned elementary cellular automata (AT-ECA) are described with respect to the relationship between active and passive updating, and that spells out the relationship between synchronous and asynchronous updating. Mutual tuning between synchronous and asynchronous updating can be interpreted as the model for dissipative structure, and that can reveal the critical property in the phase transition from order to chaos. Since asynchronous tuning easily makes behavior at the edge of chaos, the property of AT-ECA is called the unfolded edge of chaos. The computational power of AT-ECA is evaluated by the quantitative measure of computational universality and efficiency. It shows that the computational efficiency of AT-ECA is much higher than that of synchronous ECA and asynchronous ECA. MDPI 2021-10-20 /pmc/articles/PMC8622964/ /pubmed/34828074 http://dx.doi.org/10.3390/e23111376 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gunji, Yukio-Pegio Uragami, Daisuke Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos |
title | Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos |
title_full | Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos |
title_fullStr | Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos |
title_full_unstemmed | Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos |
title_short | Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos |
title_sort | computational power of asynchronously tuned automata enhancing the unfolded edge of chaos |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622964/ https://www.ncbi.nlm.nih.gov/pubmed/34828074 http://dx.doi.org/10.3390/e23111376 |
work_keys_str_mv | AT gunjiyukiopegio computationalpowerofasynchronouslytunedautomataenhancingtheunfoldededgeofchaos AT uragamidaisuke computationalpowerofasynchronouslytunedautomataenhancingtheunfoldededgeofchaos |