The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
As formações de padrões dinâmicos espaciais ou trilhas de organismos nos atraem, o que nos lembra o caos e o fractal. Parecem mostrar a emergência da cooperação, da separação de empregos ou da divisão de territórios quando a programação genética controla a reprodução, a mutação e o cruzamento dos organismos. Pesquisas recentes sobre o comportamento social dos insetos sugerem que a inteligência do enxame vem de feromônios ou trilhas químicas, e modelos baseados na auto-organização podem ajudar a explicar como o comportamento em nível de colônia emerge das interações entre insetos individuais. Tentamos explicar os comportamentos cooperativos dos insetos sociais por meio da densidade dos organismos e sua interação com o ambiente em simulações simples. Também estudamos que a avaliação da aptidão baseada em MDL é eficaz para melhorar a generalização da programação genética. Por fim, modelos matemáticos interespecíficos e intraespecíficos são examinados para expandir nossa pesquisa sobre evolução interespecífica.
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Akira YOSHIDA, "From Intraspecific Learning to Interspecific Evolution by Genetic Programming" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 1, pp. 243-254, January 2002, doi: .
Abstract: Spatial dynamic pattern formations or trails by organisms attract us, which remind us chaos and fractal. They seem to show the emergence of co-operation, job separation, or division of territories when genetic programming controls the reproduction, mutation, crossing over of the organisms. Recent research in social insect behavior suggests that swarm intelligence comes from pheromone or chemical trails, and models based on self-organization can help explain how colony-level behavior emerges out of interactions among individual insects. We try to explain the co-operative behaviors of social insect by means of density of organisms and their interaction with environment in simple simulations. We also study that MDL-based fitness evaluation is effective for improvement of generalization of genetic programming. At last, interspecific and intraspecific mathematical models are examined to expand our research into interspecific evolution.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_1_243/_p
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@ARTICLE{e85-d_1_243,
author={Akira YOSHIDA, },
journal={IEICE TRANSACTIONS on Information},
title={From Intraspecific Learning to Interspecific Evolution by Genetic Programming},
year={2002},
volume={E85-D},
number={1},
pages={243-254},
abstract={Spatial dynamic pattern formations or trails by organisms attract us, which remind us chaos and fractal. They seem to show the emergence of co-operation, job separation, or division of territories when genetic programming controls the reproduction, mutation, crossing over of the organisms. Recent research in social insect behavior suggests that swarm intelligence comes from pheromone or chemical trails, and models based on self-organization can help explain how colony-level behavior emerges out of interactions among individual insects. We try to explain the co-operative behaviors of social insect by means of density of organisms and their interaction with environment in simple simulations. We also study that MDL-based fitness evaluation is effective for improvement of generalization of genetic programming. At last, interspecific and intraspecific mathematical models are examined to expand our research into interspecific evolution.},
keywords={},
doi={},
ISSN={},
month={January},}
Copiar
TY - JOUR
TI - From Intraspecific Learning to Interspecific Evolution by Genetic Programming
T2 - IEICE TRANSACTIONS on Information
SP - 243
EP - 254
AU - Akira YOSHIDA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2002
AB - Spatial dynamic pattern formations or trails by organisms attract us, which remind us chaos and fractal. They seem to show the emergence of co-operation, job separation, or division of territories when genetic programming controls the reproduction, mutation, crossing over of the organisms. Recent research in social insect behavior suggests that swarm intelligence comes from pheromone or chemical trails, and models based on self-organization can help explain how colony-level behavior emerges out of interactions among individual insects. We try to explain the co-operative behaviors of social insect by means of density of organisms and their interaction with environment in simple simulations. We also study that MDL-based fitness evaluation is effective for improvement of generalization of genetic programming. At last, interspecific and intraspecific mathematical models are examined to expand our research into interspecific evolution.
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