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Quorum Sensing Digital Simulations for the Emergence of Scalable and Cooperative Artificial Networks

机译:可伸缩和协作式人工网络涌现的群体感应数字仿真

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This article proposes digital simulations of a bacterial communication system termed quorum sensing, and investigates the design of artificial networks build on the behavior of bacteria societies that tweet using quorum sensing signals. To this end, this article proposes a cell-based model that uses a "bottom-up" agent-based model coupled with ordinary differential equations, and develops the abstraction of intracellular dynamics as a basis underlying cooperative artificial network formation. Results show the emergence of self-sustainable behaviors thanks to the proposed model of metabolism that permits bacteria to grow, reproduce, interact, and coordinate at the population level to exhibit near-perfect bioluminescence behaviors. Moreover, the evolution of cooperation in the subsequent artificial network leads to the emergence of non-predicted coercive strategies. Coercion has been shown to be beneficial to share common interests between variants of cooperators leading the entire population of cells to be networked. Agent-Based Modeling; Autonomous Behavior; Bioluminescence; Cell-to-Cell Communication; Coercion; Cooperation; Distributed Control; Gene Expression; Metabolism; Self-Regulation.
机译:本文提出了一种称为群体感应的细菌通信系统的数字仿真,并研究了基于群体感应信号发声的细菌社团行为的人工网络设计。为此,本文提出了一种基于细胞的模型,该模型使用了基于“自下而上”的基于代理的模型和常微分方程,并发展了细胞内动力学的抽象作为合作人工网络形成的基础。结果表明,由于提议的新陈代谢模型使细菌能够在种群水平上生长,繁殖,相互作用和协调,从而表现出近乎完美的生物发光行为,因此出现了自我可持续的行为。此外,随后的人工网络中合作的发展导致出现了不可预测的强制性策略。事实证明,强制转换有利于在合作伙伴的变体之间共享共同的利益,从而使整个细胞群体都可以联网。基于主体的建模;自主行为;生物发光;单元间通信;强迫;合作;分布式控制基因表达;代谢;自我调节。

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