A continuous-time decision-making model for bacterial growth via quorum sensing: theory and evidence
A continuous-time decision-making model for bacterial growth via quorum sensing: theory and evidence
复制标题
通过群体感应进行细菌生长的连续时间决策模型：理论和证据
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
J. Boedicker
中科院分区：
文献类型：
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作者：
M. Vasconcelos;U. Mitra;Odilon Câmara;Manasi S. Gangan;J. Boedicker
群体感应是细菌用来协调群体密度依赖性集体行为的一种通讯机制。在细菌生长的特定情况下，群体感应作为一种控制机制，优化内在生长速率和环境可以维持的最大种群规模之间的权衡。在此，提出了一种通过连续时间中的群体感应来控制细菌生长的模型。相对于现有模型，该模型的主要创新之一是假设自然界寻求随着时间的推移优化人口水平。生长曲线的优化被配制成一个折扣的目标函数的最大化，其中变量是激活阈值的群体感应机制。数值证据表明，这个折扣的目标函数的基础上的增长曲线是单峰的激活阈值。从分析实验数据获得的生长曲线与模型预测的相匹配。
Quorum sensing is a communication mechanism used by bacteria to coordinate population density dependent collective behavior. In the particular case of bacterial growth, quorum sensing acts as a control mechanism that optimizes the trade-off between intrinsic growth rate and the maximum population size that the environment can sustain. Herein, a model for controlled bacterial growth via quorum sensing in continuous time is proposed. One of the main innovations of the proposed model relative to existing ones is to assume that Nature seeks to optimize the population level over time. The growth curve optimization is formulated as the maximization of a discounted objective function where the variable is the activation threshold for the quorum sensing mechanism. Numerical evidence suggests that this discounted objective function based on the growth curves is unimodal in the activation threshold. Growth curves obtained from analyzing experimental data match those predicted by the model.
细菌群体感应作为网络决策系统
DOI：
10.1109/icc.2018.8422668
发表时间：
2018
期刊：
Proceedings of the International Conference on Communications
影响因子：
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作者：
Vasconcelos, Marcos M.;Mitra, Urbashi;Camara, Odilon;Silva, Kalinga Pavan;Boedicker, James
通讯作者：
Boedicker, James
通过群体感应建立细菌生长的顺序决策模型
DOI：
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发表时间：
2018
期刊：
and Computers
影响因子：
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作者：
Vasconcelos, M;Camara, O;Mitra, U;Boedicker, J
通讯作者：
Boedicker, J