Gutierrez Juan Manuel Parrilla, Hinkley Trevor, Taylor James Ward, Yanev Kliment, Cronin Leroy
WestCHEM, School of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.
Future Bits OpenTech UG, Cologne 51103, Germany.
Nat Commun. 2014 Dec 8;5:5571. doi: 10.1038/ncomms6571.
Evolution, once the preserve of biology, has been widely emulated in software, while physically embodied systems that can evolve have been limited to electronic and robotic devices and have never been artificially implemented in populations of physically interacting chemical entities. Herein we present a liquid-handling robot built with the aim of investigating the properties of oil droplets as a function of composition via an automated evolutionary process. The robot makes the droplets by mixing four different compounds in different ratios and placing them in a Petri dish after which they are recorded using a camera and the behaviour of the droplets analysed using image recognition software to give a fitness value. In separate experiments, the fitness function discriminates based on movement, division and vibration over 21 cycles, giving successive fitness increases. Analysis and theoretical modelling of the data yields fitness landscapes analogous to the genotype-phenotype correlations found in biological evolution.
进化，曾经是生物学的专属领域，如今已在软件中被广泛模仿，而能够进化的实体系统一直局限于电子和机器人设备，从未在物理相互作用的化学实体群体中被人工实现。在此，我们展示了一个液体处理机器人，其目的是通过自动化进化过程研究油滴性质与成分的关系。该机器人通过以不同比例混合四种不同化合物来制造油滴，并将它们放置在培养皿中，然后用相机记录，再使用图像识别软件分析油滴的行为以给出适应度值。在单独的实验中，适应度函数基于21个周期内的移动、分裂和振动进行区分，使适应度连续增加。对数据的分析和理论建模产生了类似于生物进化中基因型 - 表型相关性的适应度景观。
Zotero 插件
