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Ionic decision-maker created as novel, solid-state devices
Decision-making is being performed frequently in areas of computation to obtain better performance in a wide variety of current intelligent activities. In practical terms, this decision-making must adapt to dynamic changes in environmental conditions. However, because of limited computational resour...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128672/ https://www.ncbi.nlm.nih.gov/pubmed/30202787 http://dx.doi.org/10.1126/sciadv.aau2057 |
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author | Tsuchiya, Takashi Tsuruoka, Tohru Kim, Song-Ju Terabe, Kazuya Aono, Masakazu |
author_facet | Tsuchiya, Takashi Tsuruoka, Tohru Kim, Song-Ju Terabe, Kazuya Aono, Masakazu |
author_sort | Tsuchiya, Takashi |
collection | PubMed |
description | Decision-making is being performed frequently in areas of computation to obtain better performance in a wide variety of current intelligent activities. In practical terms, this decision-making must adapt to dynamic changes in environmental conditions. However, because of limited computational resources, adaptive decision-making is generally difficult to achieve using conventional computers. The ionic decision-maker reported here, which uses electrochemical phenomena, has excellent dynamic adaptabilities, as demonstrated by its ability to solve multiarmed bandit problems (MBPs) in which a gambler given a choice of slot machines must select the appropriate machines to play so as to maximize the total reward in a series of trials. Furthermore, our ionic decision-maker successfully solves dynamic competitive MBPs, which cause serious loss due to the collision of selfish users in communication networks. The technique used in our devices offers a shift toward decision-making using the motion of ions, an approach that could find myriad applications in computer science and technology, including artificial intelligence. |
format | Online Article Text |
id | pubmed-6128672 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61286722018-09-10 Ionic decision-maker created as novel, solid-state devices Tsuchiya, Takashi Tsuruoka, Tohru Kim, Song-Ju Terabe, Kazuya Aono, Masakazu Sci Adv Research Articles Decision-making is being performed frequently in areas of computation to obtain better performance in a wide variety of current intelligent activities. In practical terms, this decision-making must adapt to dynamic changes in environmental conditions. However, because of limited computational resources, adaptive decision-making is generally difficult to achieve using conventional computers. The ionic decision-maker reported here, which uses electrochemical phenomena, has excellent dynamic adaptabilities, as demonstrated by its ability to solve multiarmed bandit problems (MBPs) in which a gambler given a choice of slot machines must select the appropriate machines to play so as to maximize the total reward in a series of trials. Furthermore, our ionic decision-maker successfully solves dynamic competitive MBPs, which cause serious loss due to the collision of selfish users in communication networks. The technique used in our devices offers a shift toward decision-making using the motion of ions, an approach that could find myriad applications in computer science and technology, including artificial intelligence. American Association for the Advancement of Science 2018-09-07 /pmc/articles/PMC6128672/ /pubmed/30202787 http://dx.doi.org/10.1126/sciadv.aau2057 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Tsuchiya, Takashi Tsuruoka, Tohru Kim, Song-Ju Terabe, Kazuya Aono, Masakazu Ionic decision-maker created as novel, solid-state devices |
title | Ionic decision-maker created as novel, solid-state devices |
title_full | Ionic decision-maker created as novel, solid-state devices |
title_fullStr | Ionic decision-maker created as novel, solid-state devices |
title_full_unstemmed | Ionic decision-maker created as novel, solid-state devices |
title_short | Ionic decision-maker created as novel, solid-state devices |
title_sort | ionic decision-maker created as novel, solid-state devices |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128672/ https://www.ncbi.nlm.nih.gov/pubmed/30202787 http://dx.doi.org/10.1126/sciadv.aau2057 |
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