Husbands P, Harvey I, Cliff D, Miller G
School of Cognitive and Computing Sciences, University of Sussex, Brighton, United Kingdom.
Brain Cogn. 1997 Jun;34(1):130-59. doi: 10.1006/brcg.1997.0910.
Recently there have been a number of proposals for the use of artificial evolution as a radically new approach to the development of control systems for autonomous robots. This paper explains the artificial evolution approach, using work at Sussex to illustrate it. The paper revolves around a case study on the concurrent evolution of control networks and visual sensor morphologies for a mobile robot. Wider intellectual issues surrounding the work are discussed, as is the use of more abstract evolutionary simulations as a new potentially useful tool in theoretical biology.
最近，有许多关于使用人工进化作为一种全新方法来开发自主机器人控制系统的提议。本文解释了人工进化方法，并以苏塞克斯大学的研究工作为例进行说明。本文围绕一个关于移动机器人控制网络和视觉传感器形态并发进化的案例研究展开。文中讨论了围绕这项工作的更广泛的学术问题，以及使用更抽象的进化模拟作为理论生物学中一种新的潜在有用工具的情况。
