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Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems
https://ipsj.ixsq.nii.ac.jp/records/33484
https://ipsj.ixsq.nii.ac.jp/records/33484a3d806c1-df7a-4a88-b313-af6ea203c355
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2001 by the Information Processing Society of Japan
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オープンアクセス |
Item type | SIG Technical Reports(1) | |||||||
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公開日 | 2001-05-10 | |||||||
タイトル | ||||||||
タイトル | Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems | |||||||
言語 | ||||||||
言語 | jpn | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
資源タイプ | technical report | |||||||
著者所属 | ||||||||
Faculty of Science Niigata University | ||||||||
著者所属 | ||||||||
Faculty of Science Niigata University | ||||||||
著者所属 | ||||||||
Faculty of Engineering Niigata University | ||||||||
著者所属 | ||||||||
Faculty of Engineering Niigata University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Faculty of Science, Niigata University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Faculty of Science, Niigata University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Faculty of Engineering, Niigata University | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Faculty of Engineering, Niigata University | ||||||||
著者名 |
Koji, Ohnishi
Hiroshi, Shutou
Hajime, Sawamura
Masaki, Gota
× Koji, Ohnishi Hiroshi, Shutou Hajime, Sawamura Masaki, Gota
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著者名(英) |
Koji, Ohnishi
Hiroshi, Shutou
Hajime, Sawamura
Masaki, Gota
× Koji, Ohnishi Hiroshi, Shutou Hajime, Sawamura Masaki, Gota
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Genetic codes were found to have emerged as semeiotic culture of hierarchical tRN A-riboorganismic society which had evolved in early intracellular micro-environment ("semeiotic culture theory" or "polytRNA theory" (Fig.1) on the origin of genetic codes.) Well-mede biomachines such as bee super-organism (= bee eusociety consisting of queens and workers) animal body (=super-organism consisting of germline and somatic-line unicell diploid animals) and genetic apparatus were found to have evolved by neural-network-like machinogenesis depends on the society's own specific semeiotic system which is considered to be the society's "semeiotic cultuer". Origins and evolution of cognitive and autopoietic characters of various biosystems were discussed with special emphases on riboorganismic (RAN-) multi-cellular (nimal-) and multi-individual (species-) societies as well as on various semeiotic culture systems including genetic codes (Fig.1) bee-dance languge (Fig.5) hormones (in multi-cellular society = animal body etc.) and pheromones (in "specia" or iso-species society) and primate language systems. Unified for the evolution of general bio-systems was discussed from the aspect of (self-) learning neural network machine (NNwM) (Figs. 3 4 7). suggesting that every living system could be some type of learning NNwM from which life's active and autopoietic features would emerge. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Genetic codes were found to have emerged as semeiotic culture of hierarchical tRN A-riboorganismic society which had evolved in early intracellular micro-environment ("semeiotic culture theory" or "polytRNA theory" (Fig.1) on the origin of genetic codes.) Well-mede biomachines such as bee super-organism (= bee eusociety consisting of queens and workers), animal body (=super-organism consisting of germline and somatic-line unicell diploid animals), and genetic apparatus were found to have evolved by neural-network-like machinogenesis depends on the society's own specific semeiotic system which is considered to be the society's "semeiotic cultuer". Origins and evolution of cognitive and autopoietic characters of various biosystems were discussed, with special emphases on riboorganismic (RAN-), multi-cellular (nimal-), and multi-individual (species-) societies, as well as on various semeiotic culture systems including genetic codes (Fig.1), bee-dance languge (Fig.5), hormones (in multi-cellular society = animal body, etc.) and pheromones (in "specia" or iso-species society), and primate language systems. Unified for the evolution of general bio-systems was discussed from the aspect of (self-) learning neural network machine (NNwM), (Figs. 3, 4, 7). suggesting that every living system could be some type of learning NNwM from which life's active and autopoietic features would emerge. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AN10505667 | |||||||
書誌情報 |
情報処理学会研究報告数理モデル化と問題解決(MPS) 巻 2001, 号 37(2001-MPS-034), p. 3-6, 発行日 2001-05-10 |
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Notice | ||||||||
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
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言語 | ja | |||||||
出版者 | 情報処理学会 |