论文标题
通过快速混乱的探索和缓慢的反馈固定的通用适应
Generic Adaptation by Fast Chaotic Exploration and Slow Feedback Fixation
论文作者
论文摘要
生活系统通过改变其内部状态来适应各种环境条件。受基因表达和表观遗传修饰动力学的启发，我们在这里提出了一种通用机制，可以通过结合快速振荡动力学和较慢的反馈固定过程来适应。通过广泛的模型模拟，我们揭示了快速混乱的动力学作为对较慢动力学固定的适应状态的全局搜索。随着元素数量的增加，该机制的提高。本文还讨论了与人工神经网络中细胞适应和优化的相关性。
Living systems adapt to various environmental conditions by changing their internal states. Inspired by gene expression and epigenetic modification dynamics, we herein propose a generic mechanism for adaptation by combining fast oscillatory dynamics and a slower feedback fixation process. Through extensive model simulations, we reveal that fast chaotic dynamics serve as global searching for adapted states fixed by slower dynamics. The mechanism improves as the number of elements is increased. Relevance to cellular adaptation and optimization in artificial neural networks is also discussed herein.
