摘要翻译：
人工网络、神经生物网络和社会网络是三个不同的复杂适应系统(CAS)，每一个都包含离散的处理单元（分别是节点、神经元和人类）。尽管有明显的差异，这三个网络都受到共同的基本原则的约束，这些原则描述了系统的行为，即系统各组成部分之间的联系，以及系统的突现性质。这些系统中每个组件的寿命（长期保留和功能）也是由共同原则定义的。在这里，我将考察人工和神经生物系统组成部分的寿命和功能的一些性质，并将这些性质概括为社会CAS组成部分的寿命和功能。换句话说，我将表明，支配计算机节点和神经元长期功能的原理，可以外推到对人类长期功能的研究（或者更准确地说，对noemes的研究，即存在和数字名声的抽象结合）。对这些现象的研究可以提供有用的见解，以实用的方法可以用来最大限度地延长人类的寿命。规范这些行为的基本法律是必要有用性法律，该法律规定，代理人在核证机关内的留用时间，与代理人对系统整体适应性的贡献成正比。关键词：复杂适应系统，超连通性，人类长寿，适应性与进化，Noeme
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英文标题：
《Technological integration and hyper-connectivity: Tools for promoting
  extreme human lifespans》
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作者：
Marios Kyriazis
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最新提交年份：
2014
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分类信息：

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：
  Artificial, neurobiological, and social networks are three distinct complex adaptive systems (CAS), each containing discrete processing units (nodes, neurons, and humans respectively). Despite the apparent differences, these three networks are bound by common underlying principles which describe the behaviour of the system in terms of the connections of its components, and its emergent properties. The longevity (long-term retention and functionality) of the components of each of these systems is also defined by common principles. Here, I will examine some properties of the longevity and function of the components of artificial and neurobiological systems, and generalise these to the longevity and function of the components of social CAS. In other words, I will show that principles governing the long-term functionality of computer nodes and of neurons, may be extrapolated to the study of the long-term functionality of humans (or more precisely, of the noemes, an abstract combination of existence and digital fame). The study of these phenomena can provide useful insights regarding practical ways that can be used in order to maximize human longevity. The basic law governing these behaviours is the Law of Requisite Usefulness, which states that the length of retention of an agent within a CAS is proportional to the contribution of the agent to the overall adaptability of the system. Key Words: Complex Adaptive Systems, Hyper-connectivity, Human Longevity, Adaptability and Evolution, Noeme
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PDF链接：
https://arxiv.org/pdf/1402.6910