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Models of Self-Organization Using Genetic Cell Automata

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  031120,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.13738) @2003
Authors:   Makoto Dohi, Junichi Kanagawa
Keywords:   Cellular Automata, Genetic Algorithms, Artificial Life, Simulation

Two artificial life models that it evolves to the microorganism which has genetic codes are made for trial. These cellular automata are set up to have genetic code about metabolism and form, and it evolves by interactions with these environment and another cells of this artificial life. This system was applied the artificial ecosystem which could observe the evolution of artificial microorganisms and phenomena that the symbiosis influenced to the evolution. Then, the selforganization of the artificial microorganism was experimented by this model.

As a result, an artificial microorganism that has chemotaxis was self-organized due to the interaction with the gene and the environment. And, the microorganism which had the same function and size was diversified by the interaction with the environment and the evolution.

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