Subjective Information in Life Processes: A Computational Case Study
Subjective Information in Life Processes: A Computational Case Study
复制标题
生命过程中的主观信息：计算案例研究
DOI：
10.1145/3477206.3477454
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Pierobon, Massimiliano
中科院分区：
文献类型：
--
作者：
Barker, Tyler;Thomas, Peter J.;Pierobon, Massimiliano
信息处理作为描述生物系统特征的统一和整体概念，越来越受到人们的青睐。目前的研究在应用信息来理解生活方面取得了重要但有限的结果，主要是因为嵌入在为通信系统工程而制定的普遍接受的理论中的内在句法限制，而不是对自然的普遍表征。在本文中，我们进一步提出了“主观信息”的概念，它考虑了不同信息源对不同生命功能的相对重要性。为此，我们开发了一个微生物的计算模型，它需要两种代谢底物才能生存和生长。底物具有不同的空间分布，生物体通过嘈杂的受体结合过程获得关于其环境浓度和梯度的信息，最终引导其在环境中的趋化性，以增加生长和生存的机会。我们的模拟结果揭示了生命系统最大限度地从环境中获取信息的能力与其随时间增长和生存的最大化之间的权衡，这表明一种形式的“主观信息”促进了生命过程中的增长和生存，而不是经典的、纯粹句法上的香农信息。
Information processing has increasingly gained traction as a unifying and holistic concept to characterize biological systems. Current research has obtained important but limited results in applying information to understanding life, mainly because of inherent syntactic constraints embedded in a universally accepted theory, formulated for communication system engineering, rather than a universal characterization of nature. In this paper, we further the notion of "subjective information", which takes into account the relative importance of different information sources for distinct life functions. To this end, we develop a computational model of a microorganism that requires two metabolic substrates to survive and grow. The substrates have different spatial distributions, and the organism acquires information on their environmental concentrations and gradients through a noisy receptor-binding process, ultimately guiding its chemotaxis in the environment to increase the chances of growth and survival. Our simulation results reveal a trade-off between a living system's capability to maximize the acquisition of information from the environment, and the maximization of its growth and survival over time, suggesting that a form of "subjective information" promotes growth and survival in life processes, rather than the classical, purely syntactic Shannon information.
影响因子：
7.8
作者：
S. Zigmond;S. Sullivan
通讯作者：
S. Sullivan
影响因子：
2.5
作者：
Bergstrom, Carl T.;Rosvall, Martin
通讯作者：
Rosvall, Martin