|Evolution of Hungarian flag|
At the beginning of each simulation, all cells had the same state and commenced their operation at the same time - this is comparable with a number of people cooperatively drawing an image in the dark.
We used our tool FREVO for evolving the neural network in a way that it reproduces the given pattern. The best results have been achieved when evolving simple structures with large areas of a single color as they are present for example in flags. For more complex images, however, the current setup causes the evolutionary algorithm to get stuck at a suboptimal stage like depicted in the approach to learn the image of Leonardo da Vinci's Mona Lisa painting. There is, however, a large space of possibilities for variations of the model which gives rise to future work.
|Complex images like this painting cannot be reproduced - Mona Lisa kinda vanished huh?|
- W. Elmenreich and I. Fehérvári. Evolving self-organizing cellular automata based on neural network genotypes. In C. Bettstetter, C. Gershenson, editor, Proceedings of the Fifth International Workshop on Self-Organizing Systems, pages 16–25. Springer Verlag, 2011.