Investigating Open-Ended Coevolution in Digital Organisms
Investigating Open-Ended Coevolution in Digital Organisms
复制标题
研究数字生物的开放式协同进化
DOI：
10.1162/isal_a_00052
复制
发表时间：
2018
期刊：
影响因子：
2.6
通讯作者：
Luis Zaman
中科院分区：
文献类型：
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作者：
Luis Zaman
地球上生命最显著的特征之一是达尔文进化论所产生的戏剧性的多样性和创造力。随着人工生命领域的成熟，人们越来越有兴趣在计算机上重现类似的多样性水平。很明显，人工生命尚未达到这一目标（Bedau等人，1998年）。另一方面，没有理由认为人工生命系统缺少进化过程中的某些基本组成部分。艾米丽·多尔森和她的合著者一直致力于正式确定一种方法，该方法专注于识别（从而可能克服）开放式进化的障碍（多尔森等人，2015; Taylor等人，2016年）。这项工作的目标主要是操作这个框架的一部分，以研究是否共同进化的宿主寄生虫社区Avida表现出持续的开放式进化。在这样做的同时，我们将介绍一些基于传统生态理论的进化变化的定量测量方法，这些方法适用于共同进化的社区。
One of the most striking features of life on earth is the dramatic diversity and creativity produced by Darwinian evolution. As the field of artificial life has matured, interest has grown in recapitulating similar levels of diversity in silico. It is immediately obvious that artificial life has not yet reached this goal (Bedau et al., 1998). On the other hand, there is no reason to think that artificial life systems are missing some fundamental component of the evolutionary process. Emily Dolson and her coauthors have worked towards formalizing an approach focused on identifying (thus potentially overcoming) barriers to open-ended evolution (Dolson et al., 2015; Taylor et al., 2016). The goal of this work is principally to operationalize part of this framework to study whether or not coevolving host-parasite communities in Avida exhibit ongoing open-ended evolution. While doing so, we will introduce a few quantitative measures of evolutionary change that are rooted in traditional ecological theory and are suitable for coevolving communities.