摘要翻译：
这篇周年纪念论文是一个回顾一些塑造机构经济物理学的事件的机会。但在这些关于过去15年来经济物理学发展的思考中，我们也表达了一些担忧。我们主要担心的是放弃简单性要求。自从大约三个世纪前伽利略的开创性实验以来，物理学家的巨大成功很大程度上是因为他们能够把复杂的现象分解成更简单的现象。请记住，第一次对电流效应的观察是由亚历山德罗·沃尔特（1745-1827）在青蛙腿上做出的！显然，要使这一观察有意义，必须将其分解为几个独立的效应。如今，随着计算机能够处理大量的数据，并模拟任何随机过程，无论多么复杂，不再真正需要这样的简单性搜索。一个人为什么要花时间和精力试图打破复杂的现象，因为它是可能的全球处理它们？然而，在这条新的道路上有几个绊脚石。这样的全局数学描述会导致真正的理解吗？它们是否产生了可以在其他地方使用的积木，从而使我们的知识和理解以累积的方式增长？经济物理学是否也应该采用“全球化”的观点，这种观点是由过去十年中涌现出来的众多“复杂性部门”所认可、发展和传播的？
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英文标题：
《Fifteen years of econophysics: worries, hopes and prospects》
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作者：
Bertrand M. Roehner
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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：Adaptation and Self-Organizing Systems        自适应和自组织系统
分类描述：Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应，自组织系统，统计物理，波动系统，随机过程，相互作用粒子系统，机器学习
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一级分类：Physics        物理学
二级分类：Popular Physics        大众物理学
分类描述：Description coming soon
描述即将到来
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一级分类：Quantitative Finance        数量金融学
二级分类：General Finance        一般财务
分类描述：Development of general quantitative methodologies with applications in finance
通用定量方法的发展及其在金融中的应用
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英文摘要：
  This anniversary paper is an occasion to recall some of the events that shaped institutional econophysics. But in these thoughts about the evolution of econophysics in the last 15 years we also express some concerns. Our main worry concerns the relinquishment of the simplicity requirement. Ever since the groundbreaking experiments of Galileo some three centuries ago, the great successes of physicists were largely due to the fact that they were able to decompose complex phenomena into simpler ones. Remember that the first observation of the effects of an electrical current was made by Alessandro Volta (1745-1827) on the leg of a frog! Clearly, to make sense this observation had to be broken down into several separate effects. Nowadays, with computers being able to handle huge amounts of data and to simulate any stochastic process no matter how complicated, there is no longer any real need for such a search for simplicity. Why should one spend time and effort trying to break up complicated phenomena when it is possible to handle them globally? On this new road there are several stumbling blocks, however. Do such global mathematical descriptions lead to a real understanding? Do they produce building blocks which can be used elsewhere and thus make our knowledge and comprehension to grow in a cumulative way? Should econophysics also adopt the "globalized" perspective that has been endorsed, developed and spread by the numerous "Complexity Departments" which sprang up during the last decade?
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PDF链接：
https://arxiv.org/pdf/1004.3229