A Taxonomy for artificial embryogeny
Artificial Life
A comparison between cellular encoding and direct encoding for genetic neural networks
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
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This paper belongs to the field of Computational Development. It describes a method that has the objective to provide an effective way of generating arbitrary shapes by using evolutionary-developmental techniques, i.e. by evolving genomes that guide the development of the organism starting from a single cell. The key feature of the method is the explicit introduction of an epigenetic memory, that is a cell variable that is modified during the development process and can take different values in different cells. This variable represents the source of differentiation, that leads different cells to read out different portions of the genome at different times. Preliminary experiments have been performed and the results appear to be quite encouraging: the proposed method was able to evolve a number of 25×25, 32×48 and 64×64 target shapes.