Decentralized Innovation Marking for Neural Controllers in Embodied Evolution
Iñaki Fernández Pérez, Amine M. Boumaza, François Charpillet · 2015
We propose a novel innovation marking method for Neuro-Evolution of Augmenting Topologies in Embodied Evolutionary Robotics. This method does not rely on a centralized clock, which makes it well suited for the decentralized nature of EE where no central evolutionary process governs the adaptation of a team of robots exchanging messages locally.