2016 Fiscal Year Final Research Report
Research for fundamental algorithm of natural intelligence by means of mathematical science and biological information science
| Project/Area Number |
26310202
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 特設分野 |
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| Research Field |
Mathematical Sciences in Search of New Cooperation
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| Research Institution | Hokkaido University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
上田 肇一 富山大学, その他の研究科, 准教授 (00378960)
手老 篤史 九州大学, 学内共同利用施設等, 准教授 (60431326)
佐藤 勝彦 北海道大学, 電子科学研究所, 准教授 (90513622)
黒田 茂 北海道大学, 電子科学研究所, 助教 (90431303)
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| Project Period (FY) |
2014-07-18 – 2017-03-31
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| Keywords | 生体生命情報処理 / アルゴリズム / 単細胞生物 / 数理モデリング / 行動 / 繊毛虫 / 粘菌 / 反応拡散方程式 |
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| Outline of Final Research Achievements |
We searched for common algorithm of problem-solving and information processing that may be shared by a range of species from single-celled organisms to higher animals, by describing the physical equations of motion for behavioral intelligence demonstrated in single-cell level. We threw light on protozoa like slime mold amoeba and ciliates as a model organism, and obtained the results on network optimization, learning behavior and primitive decision-making. On the network optimization, a common algorithm of use-and-growth rule was indicated in a range of functional morphogenesis from transport network in slime mold to mechanical structure of bone in higher animals, and geographical pattern of cities and roads in human society.
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| Free Research Field |
Physical ethology
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