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Computational ability of cells based on cell dynamics and adaptability
http://hdl.handle.net/10445/4418
http://hdl.handle.net/10445/4418e6cd5723-9f41-4b47-a41a-0ce4fe5d361a
| Item type | 一般雑誌記事 / Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2010-11-15 | |||||
| タイトル | ||||||
| タイトル | Computational ability of cells based on cell dynamics and adaptability | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
中垣, 俊之
× 中垣, 俊之× Tero, Atsushi× Kobayashi, Ryo× Onishi, Isamu× Miyaji, Tomoyuki |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Learning how biological systems solve problems could help to design new methods of computation. Information processing in simple cellular organisms is interesting, as they have survived for almost 1 billion years using a simple system of information processing. Here we discuss a well-studied model system: the large amoeboid Physarum plasmodium. This well-studied model system: the large amoeboid Physarum plasmodium. This amoeba can find approximate solutions for combinatorial optimization problems, such as solving a maze or a shortest network problem. In this report, we describe problem solving by the amoeba, and the computational methods that can be extracted from biological behaviors. The algorithm designed based on Physarum is both simple and useful. | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 総説・解説など | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | インパクトファクター(0.94) | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 被引用回数(4) | |||||
| 書誌情報 |
New Generation Computing 巻 27, 号 1, p. 57-81, 発行日 2008 |
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| 査読有無 | ||||||
| 値 | なし/no | |||||
| 研究業績種別 | ||||||
| 値 | アカデミックな活動/Academic Activity | |||||
| 単著共著 | ||||||
| 値 | 共著/joint | |||||
| 出版者 | ||||||
| 出版者 | Ohmsha-Springer | |||||
