Evolving Embodied Genetic Regulatory Network-Driven Control Systems
Evolving Embodied Genetic Regulatory Network-Driven Control Systems
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DOI：
10.1007/978-3-540-39432-7_29
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发表时间：
2003-09
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影响因子：
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通讯作者：
T. Quick;Chrystopher L. Nehaniv;K. Dautenhahn;Graham Roberts
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文献类型：
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作者：
T. Quick;Chrystopher L. Nehaniv;K. Dautenhahn;Graham Roberts
我们展示了简单具体化遗传调控网络(GRN)作为机器人和基于软件的具体化人工生物体的实时控制系统的演变，并提供了来自两个实验试验台的结果：抽象软件环境中的稳态温度调节和趋光机器人行为最大化暴露在光下。GRN控制器在生物体的整个生命周期中不断地与其环境相耦合，并构成了生物体时时刻刻行为的主要基础。生物体所处的环境被证明在GRN的动态和生物体的行为中发挥着重要作用。
We demonstrate the evolution of simple embodied Genetic Regulatory Networks (GRNs) as real-time control systems for robotic and software-based embodied Artificial Organisms, and present results from two experimental test-beds: homeostatic temperature regulation in an abstract software environment, and phototactic robot behaviour maximising exposure to light. The GRN controllers are continually coupled to the organisms’ environments throughout their lifetimes, and constitute the primary basis for the organisms’ behaviour from moment to moment. The environment in which the organisms are embodied is shown to play a significant role in the dynamics of the GRNs, and the behaviour of the organisms.