@techreport{oai:ipsj.ixsq.nii.ac.jp:00033484,
 author = {Koji, Ohnishi and Hiroshi, Shutou and Hajime, Sawamura and Masaki, Gota and Koji, Ohnishi and Hiroshi, Shutou and Hajime, Sawamura and Masaki, Gota},
 issue = {37(2001-MPS-034)},
 month = {May},
 note = {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., 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.},
 title = {Neural -Network- like Bio - Machinogenesis via Semeiogenesis : Origins of Genetic Codes and Other Semeiotic Systems},
 year = {2001}
}