作者: Hiroaki Kitano
DOI: 10.1007/BFB0057623
关键词: Human–computer interaction 、 Evolutionary computation 、 Scale (chemistry) 、 Artificial life 、 Network topology 、 Artificial neural network 、 Biological modeling 、 Adaptive system 、 Complex system 、 Computer science 、 Artificial intelligence 、 Process (engineering)
摘要: One of the central challenges evolutionary computing and artificial life research is to establish a methodology for building very large complex system which has functional structures. Although it increasingly recognized that use developmental process promising approach, none existing method can create structures involving scale repetitive subunits characterize biological systems, such as brain, animal body, memory chips. In this paper, we present powerful developing based on grammar-based approach. The introduction novel meta-node associated operations essential feature method. We demonstrate strength by actually network topologies identical human receptive fields skin touch stimuli cerebeller cortex.