L.G. Volkert (USA)
Control and Identification, Evolutionary Programming, Cellular Automata
Nature has evolved many examples of identification and control systems. Unlike traditional programmed control systems, biological control systems have been developed through the process of Darwinian variation and natural se lection. These self-organizing systems are also able to adapt their control parameters to suit their needs in re sponse to their interaction with the environment. We investigate a novel cellular automata based control and identification system with the aim of identifying important organizational features for use in artificially evolving systems with better control and identification properties.
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