生物学与效率之争：概念与观点

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摘要翻译：
世界人口的增长、资源的限制、经济问题和环境问题迫使工程师们为物流系统开发出越来越高效的解决方案。然而，纯粹的效率优化往往导致技术解决方案容易受到供需变化和扰动的影响。相比之下，大自然已经提供了大量高效、灵活和稳健的物流解决方案。我们能否利用生物学原理来设计系统，使其能够灵活地适应难以预测的、波动的条件？我们提出了一种生物启发的“生物学”方法，利用模块化、自组装、自组织和分散协调的原则，从生物系统中推导出动态组织过程和自适应自我控制的原理，并将其转移到人工物流（包括纳米物流）中。相反，logistic模型可以帮助揭示系统层次上生物过程的逻辑。
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英文标题：
《BioLogistics and the Struggle for Efficiency: Concepts and Perspectives》
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作者：
Dirk Helbing, Andreas Deutsch, Stefan Diez, Karsten Peters, Yannis
  Kalaidzidis, Kathrin Padberg, Stefan Lammer, Anders Johansson, Georg Breier,
  Frank Schulze, and Marino Zerial
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最新提交年份：
2010
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics        物理学
二级分类：Biological Physics        生物物理学
分类描述：Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象（量子生物物理）、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  The growth of world population, limitation of resources, economic problems and environmental issues force engineers to develop increasingly efficient solutions for logistic systems. Pure optimization for efficiency, however, has often led to technical solutions that are vulnerable to variations in supply and demand, and to perturbations. In contrast, nature already provides a large variety of efficient, flexible and robust logistic solutions. Can we utilize biological principles to design systems, which can flexibly adapt to hardly predictable, fluctuating conditions? We propose a bio-inspired "BioLogistics" approach to deduce dynamic organization processes and principles of adaptive self-control from biological systems, and to transfer them to man-made logistics (including nanologistics), using principles of modularity, self-assembly, self-organization, and decentralized coordination. Conversely, logistic models can help revealing the logic of biological processes at the systems level.
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PDF链接：
https://arxiv.org/pdf/1012.4189

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关键词：生物学 Quantitative Organization Perspectives Perturbation 解决方案 物流 导致 组织 biological