On the infodynamics of ramifications in constructal design.

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2025-01-07 DOI:10.1016/j.biosystems.2024.105388
Miguel R O Panão
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Abstract

Infodynamics is the study of how information behaves and changes within a system during its development. This study investigates the insights that informational analysis can provide regarding the ramifications predicted by constructal design. First, infodynamic neologisms informature, defined as a measure of the amount of information in indeterminate physical systems, and infotropy - contextualized informature representing the degree of transformation of indeterminate physical systems - are introduced. Flow architectures can be designed using either symmetric or asymmetric branching. The infodynamic analysis of symmetric branching revealed diminishing returns in information content, demonstrating that informature serves as a measure of diversity. These findings align with the principle of "few large and many small, but not too many," which is consistent with higher thermofluid performance. The Performance Scaled Svelteness Ψ expresses the ability of the flow architecture to promote thermofluid performance. By contextualizing the informature with Ψ, a performance infotropy that quantifies the degree of transformation associated with the link between thermofluid performance and diversity in the ramified flow structure is obtained. A predicted growth and decay effect with increasing branching levels leads to a local maximum, highlighting that the evolutionary direction of the ramifications is inversely proportional to the scale of the environment in which the flow structure develops. Assuming an evolutionary trend toward maximum infodynamic complexity, a pattern of asymmetric ramifications emerges, similar to the sap distribution in leaves or branching of trees.

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论建筑设计分枝的信息动力学。
信息动力学研究的是信息在系统开发过程中的行为和变化。本研究探讨了信息分析对结构设计预测的后果所能提供的见解。首先,介绍了信息动态新词“信息”和“信息熵”,前者被定义为不确定物理系统中信息量的度量,后者是表示不确定物理系统转换程度的上下文化信息。流架构可以使用对称或非对称分支来设计。对称分支的信息动态分析揭示了信息内容的收益递减,表明信息可以作为多样性的度量。这些发现符合“少大多小”的原则,这与更高的热流体性能是一致的。性能缩放曲线Ψ表达了流动结构促进热流体性能的能力。通过将这些信息与Ψ联系起来,可以获得一个性能信息熵,该信息熵量化了与分支流结构中热流体性能和多样性之间的联系相关的转换程度。随着分支水平的增加,预测的生长和衰减效应导致局部最大值,突出表明分支的进化方向与流结构发展的环境规模成反比。假设进化趋势趋向于最大的信息动态复杂性,就会出现一种不对称分支的模式,类似于树叶或树枝上的汁液分布。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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