This thesis discusses a biologically defensible model of development for artificial organisms. It can be used in conjunction with genetic algorithms to design autonomous agents, complete with body and nervous system. It also has potential applications in the field of theoretical biology. The approach taken is one of exploration, i.e. the model is implemented simultaneously at three different levels of complexity: regulation of gene expression, development of body morphology and finally neural development. At each level the model's behavior under evolutionary pressure is addressed. The whole integrated model will be illustrated with a hand-designed artificial organism, that is capable of executing a simple avoidance behavior in a simulated world
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