Building complex systems using developmental process: An engineering approach
One of the central challenges of evolutionary computing and artificial life research is to establish a methodology for building very large complex system which has functional structures. Although it is increasingly recognized that the use of developmental process is the promising approach, none of existing method can create complex structures involving large scale repetitive subunits which characterize functional biological and artificial systems, such as brain, animal body, memory chips. In this paper, we present a powerful method of developing very complex structures based on a grammar-based approach. The introduction of novel meta-node and associated operations is the essential feature of the method. We demonstrate the strength of the method by actually developing the network topologies identical to human receptive fields of skin for touch stimuli and cerebeller cortex.
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