Abstract
Here we extend previous results in which a genetic algorithm (GA) is used to evolve three dimensional cellular automata (CA) to perform a non-trivial collective behavior (NTCB) task. Under a fitness function that is defined as an averaged area in the iterative map, the GA discovers CA rules with quasiperiod-3(QP3) collective behavior and others with period-3. We describe the generational progression of the GA and the synchronization necessary to maintain the global behavior is shown using a generalized space-time diagram that reveals the existence of propagating structures inside the system.
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Jiménez-Morales, F. (2000). The Evolution of 3-d C.A. to Perform a Collective Behavior Task. In: Miller, J., Thompson, A., Thomson, P., Fogarty, T.C. (eds) Evolvable Systems: From Biology to Hardware. ICES 2000. Lecture Notes in Computer Science, vol 1801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46406-9_10
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DOI: https://doi.org/10.1007/3-540-46406-9_10
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