What’s holding artificial life back from open-ended evolution?
What’s holding artificial life back from open-ended evolution?
复制标题
是什么阻碍了人工生命的开放式进化？
DOI：
10.15200/winn.152418.86598
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Charles Ofria
中科院分区：
文献类型：
--
作者：
Emily L. Dolson;Anya E. Vostinar;Charles Ofria
进化的人工生命系统表现出了许多令人兴奋的行为。然而，人们普遍认为，这些系统缺少我们在自然界中看到的持续进化创新的某些元素。许多人试图创建更多不停滞的“开放式”进化系统，但由于难以量化朝着这样一个模糊概念取得的进展而受阻。在这里，我们提出了一个思考这些问题的替代框架。通过衡量持续创新的障碍，我们可以对驱动各种进化动力的因素进行机械性的理解。我们认为，这个框架将允许更严格的假设检验和更清晰地将这些概念应用于进化计算。1 2 1 2 1 2
Evolutionary artificial life systems have demonstrated many exciting behaviors. However, there is a general consensus that these systems are missing some element of the consistent evolutionary innovation that we see in nature. Many have sought to create more "open-ended" evolutionary systems in which no stagnation occurs, but have been stymied by the difficulty of quantifying progress towards such a nebulous concept. Here, we propose an alternate framework for thinking about these problems. By measuring obstacles to continued innovation, we can move towards a mechanistic understanding of what drives various evolutionary dynamics. We propose that this framework will allow for more rigorous hypothesis testing and clearer applications of these concepts to evolutionary computation. 1 2 1 2 1 2