Toward evolutionary design of autonomous systems
Toward evolutionary design of autonomous systems
复制标题
走向自主系统的进化设计
DOI：
10.5555/206705.206710
复制
发表时间：
1995
期刊：
影响因子：
--
通讯作者：
S. Ohsuga
中科院分区：
文献类型：
--
作者：
J. Vaario;K. Hori;S. Ohsuga
提出了一种设计自治系统的进化方法。这项研究是对自治系统的全局行为如何从神经回路中出现的计算机探索。进化的方法是用来增加的剧目的行为。自治系统被视为环境中的有机体。每种生物都有自己的一套生产规则，一种遗传密码，它产生了神经结构。另一套生产规则描述了环境因素。这些产生式规则一起产生了嵌入生物体模型中的神经网络。神经网络是指导繁殖的唯一手段。这就产生了智能，也就是说，具有更智能的繁殖方法的生物体将具有相对的生存优势。
An evolutionary method for designing autonomous systems is proposed. The research is a computer exploration on how the global behavior of autonomous systems can emerge from neural circuits. The evolutionary approach is used to increase the repertoire of behaviors. Autonomous systems are viewed as organisms in an environment. Each organism has its own set of production rules, a genetic code, that gives birth to the neural structure. Another set of production rules describe the environmental factors. These production rules together give rise to a neural network embedded in the organism model. The neural network is the only means to direct reproduction. This gives rise to intelligence, i.e. organisms which have \more" intelligent methods to reproduce will have a relative advantage for survival.