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アイテム

  1. 研究報告
  2. 数理モデル化と問題解決(MPS)
  3. 2001
  4. 37(2001-MPS-034)

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/33484
a3d806c1-df7a-4a88-b313-af6ea203c355
名前 / ファイル ライセンス アクション
IPSJ-MPS01034002.pdf IPSJ-MPS01034002.pdf (602.6 kB)
Copyright (c) 2001 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
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

Koji, Ohnishi
Hiroshi, Shutou
Hajime, Sawamura
Masaki, Gota

Search repository
著者名(英) Koji, Ohnishi Hiroshi, Shutou Hajime, Sawamura Masaki, Gota

× Koji, Ohnishi Hiroshi, Shutou Hajime, Sawamura Masaki, Gota

en Koji, Ohnishi
Hiroshi, Shutou
Hajime, Sawamura
Masaki, Gota

Search repository
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
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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