NK跑步机模型的持续进化。

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Priyanka Mehra, Arend Hintze
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引用次数: 0

摘要

NK适应度景观是一个众所周知的模型,用于研究不同崎岖度景观的进化动力学。然而,这个模型是静态的,而且基因组通常很小,只能在很短的适应期内进行观察。在这里,我们引入了对模型的扩展,允许实验者设置景观变化的速度,而不依赖于其他参数,如崎岖度或突变率。我们发现,与之前观察到的复杂性灾难类似,当环境由于过高的上位性而变得过于复杂时,进化就会停止,而当变化发生得太快时,同样的现象也会发生。我们的扩展模型还保留了静态NK景观的基本属性,允许在静态和动态景观之间进行适当的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous Evolution in the NK Treadmill Model.

The NK fitness landscape is a well-known model with which to study evolutionary dynamics in landscapes of different ruggedness. However, the model is static, and genomes are typically small, allowing observations over only a short adaptive period. Here we introduce an extension to the model that allows the experimenter to set the velocity at which the landscape changes independently from other parameters, such as the ruggedness or the mutation rate. We find that, similar to the previously observed complexity catastrophe, where evolution comes to a halt when environments become too complex due to overly high degrees of epistasis, here the same phenomenon occurs when changes happen too rapidly. Our expanded model also preserves essential properties of the static NK landscape, allowing for proper comparisons between static and dynamic landscapes.

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来源期刊
Artificial Life
Artificial Life 工程技术-计算机:理论方法
CiteScore
4.70
自引率
7.70%
发文量
38
审稿时长
>12 weeks
期刊介绍: Artificial Life, launched in the fall of 1993, has become the unifying forum for the exchange of scientific information on the study of artificial systems that exhibit the behavioral characteristics of natural living systems, through the synthesis or simulation using computational (software), robotic (hardware), and/or physicochemical (wetware) means. Each issue features cutting-edge research on artificial life that advances the state-of-the-art of our knowledge about various aspects of living systems such as: Artificial chemistry and the origins of life Self-assembly, growth, and development Self-replication and self-repair Systems and synthetic biology Perception, cognition, and behavior Embodiment and enactivism Collective behaviors of swarms Evolutionary and ecological dynamics Open-endedness and creativity Social organization and cultural evolution Societal and technological implications Philosophy and aesthetics Applications to biology, medicine, business, education, or entertainment.
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