环境变率下的可塑性和进化性：基于适应度的选择和生态位有限竞争的联合作用
Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition
摘要：
自然系统的多样性和质量一直是研究人工生命的社区的难题和灵感。现在人们普遍承认，使这些属性的适应机制在很大程度上受到它们所居住的环境的影响。面对环境变化的生物有两种不同的适应机制，在不同的时间尺度上运作：\textit{plasticity}，表型在不同环境中生存的能力和\textit{evolvability}，通过突变适应的能力。虽然在环境变化下至关重要，但这两种机制都与假设在稳定环境中不必要的健身成本有关。在这项工作中，我们研究了环境动态和适应之间的相互作用，在一个最小的模型的可塑性和进化性的演变。我们实验不同类型的环境，其特征在于存在的生态位和气候功能，决定了适应度景观。我们的经验表明，环境动态影响可塑性和进化不同，不同的生态位的存在有利于适应性，即使在稳定的环境。我们进行消融研究的选择机制，以分离的作用，健身为基础的选择和利基有限的竞争。从我们的最小模型获得的结果，使我们能够提出有前途的研究方向，在生物和人工系统的开放性的研究。
英文摘要：
The diversity and quality of natural systems have been a puzzle and inspiration for communities studying artificial life. It is now widely admitted that the adaptation mechanisms enabling these properties are largely influenced by the environments they inhabit. Organisms facing environmental variability have two alternative adaptation mechanisms operating at different timescales: \textit{plasticity}, the ability of a phenotype to survive in diverse environments and \textit{evolvability}, the ability to adapt through mutations. Although vital under environmental variability, both mechanisms are associated with fitness costs hypothesized to render them unnecessary in stable environments. In this work, we study the interplay between environmental dynamics and adaptation in a minimal model of the evolution of plasticity and evolvability. We experiment with different types of environments characterized by the presence of niches and a climate function that determines the fitness landscape. We empirically show that environmental dynamics affect plasticity and evolvability differently and that the presence of diverse ecological niches favors adaptability even in stable environments. We perform ablation studies of the selection mechanisms to separate the role of fitness-based selection and niche-limited competition. Results obtained from our minimal model allow us to propose promising research directions in the study of open-endedness in biological and artificial systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
