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利用主动自适应机制增强自我复制结构的多样性。

Enhancing the diversity of self-replicating structures using active self-adapting mechanisms.

作者信息

Xu Wenli, Wu Chunrong, Peng Qinglan, Lee Jia, Xia Yunni, Kawasaki Shuji

机构信息

College of Computer Science, Chongqing University, Chongqing, China.

Chongqing Key Laboratory of Software Theory and Technology, Chongqing, China.

出版信息

Front Genet. 2022 Jul 26;13:958069. doi: 10.3389/fgene.2022.958069. eCollection 2022.

Abstract

Numerous varieties of life forms have filled the earth throughout evolution. Evolution consists of two processes: self-replication and interaction with the physical environment and other living things around it. Initiated by von Neumann et al. studies on self-replication in cellular automata have attracted much attention, which aim to explore the logical mechanism underlying the replication of living things. In nature, competition is a common and spontaneous resource to drive self-replications, whereas most cellular-automaton-based models merely focus on some self-protection mechanisms that may deprive the rights of other artificial life (loops) to live. Especially, Huang et al. designed a self-adaptive, self-replicating model using a greedy selection mechanism, which can increase the ability of loops to survive through an occasionally abandoning part of their own structural information, for the sake of adapting to the restricted environment. Though this passive adaptation can improve diversity, it is always limited by the loop's original structure and is unable to evolve or mutate new genes in a way that is consistent with the adaptive evolution of natural life. Furthermore, it is essential to implement more complex self-adaptive evolutionary mechanisms not at the cost of increasing the complexity of cellular automata. To this end, this article proposes new self-adaptive mechanisms, which can change the information of structural genes and actively adapt to the environment when the arm of a self-replicating loop encounters obstacles, thereby increasing the chance of replication. Meanwhile, our mechanisms can also actively add a proper orientation to the current construction arm for the sake of breaking through the deadlock situation. Our new mechanisms enable active self-adaptations in comparison with the passive mechanism in the work of Huang et al. which is achieved by including a few rules without increasing the number of cell states as compared to the latter. Experiments demonstrate that this active self-adaptability can bring more diversity than the previous mechanism, whereby it may facilitate the emergence of various levels in self-replicating structures.

摘要

在整个进化过程中,地球上充满了各种各样的生命形式。进化由两个过程组成:自我复制以及与物理环境和周围其他生物的相互作用。由冯·诺依曼等人发起的关于细胞自动机中自我复制的研究引起了广泛关注,其目的是探索生物复制背后的逻辑机制。在自然界中,竞争是驱动自我复制的一种常见且自发的资源,而大多数基于细胞自动机的模型仅仅关注一些自我保护机制,这些机制可能会剥夺其他人工生命(循环)生存的权利。特别是,黄等人设计了一种使用贪婪选择机制的自适应、自我复制模型,该模型可以通过偶尔舍弃自身部分结构信息来提高循环生存的能力,以适应受限环境。尽管这种被动适应可以提高多样性,但它始终受到循环原始结构的限制,并且无法以与自然生命的适应性进化相一致的方式进化或突变出新基因。此外,实施更复杂的自适应进化机制而不增加细胞自动机的复杂性至关重要。为此,本文提出了新的自适应机制,当自我复制循环的臂遇到障碍时,该机制可以改变结构基因的信息并主动适应环境,从而增加复制的机会。同时,我们的机制还可以为当前的构建臂主动添加适当的方向,以突破僵局。与黄等人工作中的被动机制相比,我们的新机制实现了主动自适应,这是通过包含一些规则来实现的,与后者相比,细胞状态的数量并未增加。实验表明,这种主动自适应能力比以前的机制能带来更多样性,从而可能促进自我复制结构中各种层次的出现。

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