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handle: 10016/4122
In this paper, the study of diploidy is introduced like and important mechanism for memory reinforcement in artificial environments where adaptation is very important. The individuals of this ecosystem are able to genetically "learn" the best behaviour for survival. Critical changes, happening in the environmental conditions, require the presence of diploidy to ensure the survival of species. By means of new gene-dominance configurations, a way to shield the individuals from erroneous selection is provided. These two concepts appear like important elements for artificial systems which have to evolve in environments with some degree of instability.
diploidy, Informática, evolutionary computation, Genetics and population dynamics, Nonnumerical algorithms, simulated environment
diploidy, Informática, evolutionary computation, Genetics and population dynamics, Nonnumerical algorithms, simulated environment
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