Jiménez-Morales, Francisco de PaulaGuisado Lizar, José Luis2018-05-042018-05-042012Jiménez Morales, F.d.P. y Guisado Lízar, J.L. (2012). A Genetic Algorithm to Study a P3 Non-trivial Collective Task. En ECTA 2012: 4th.International Conference on Evolutionary Computation Theory and Applications (250-256), Barcelona, España: INSTICC, Institute for Systems and Technologies of Information Control and Communication.https://hdl.handle.net/11441/74078Here we report new results of a genetic algorithm (GA) used to evolve one dimensional Cellular Automata (CA) to perform a P3 non-trivial collective behavior task. For this task the goal is to find a CA rule that reaches one final configuration in which the concentration of active cells oscillates among three different values. Though the majority of the best evolved rules belong to the II Wolfram’s class, the GA also finds rules of the III and IV classes. The different computational mechanisms used by each rule to synchronize the entire lattice are analyzed by means of the spatio-temporal patterns generated.application/pdfengAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de Américahttp://creativecommons.org/licenses/by-nc-nd/4.0/Cellular automataGenetic AlgorithmNon-trivial Collective BehaviourPeriod-3info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess