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This paper presents an evolutionary approach to searching for cellular automata that accept gliders. The proposed technique is based on a specific fitness function taking into account spatial evolution, the number of living cells, and the presence of gliders. The results show that the genetic algorithm is a promising tool for finding cellular automata with specific behaviors, and then could prove to be decisive for identifying new automata that support universal computation.
Sapin et al. (Mon,) studied this question.