Emergent Phenomena in Science and Everyday Life

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课程主页: https://www.coursera.org/archive/emergent-phenomena

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University of California, Irvine

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Before the advent of quantum mechanics in the early 20th century, most scientists believed that it should be possible to predict the behavior of any object in the universe simply by understanding the behavior of its constituent parts. For instance, if one could write down the equations of motion for every atom in a system, it should be possible to solve those equations (with the aid of a sufficiently large computing device) and make accurate predictions about that system’s future. However, there are some systems that defy this notion. Consider a living cell, which consists mostly of carbon, hydrogen, and oxygen along with other trace elements. We can study these components individually without ever imagining how combining them in just the right way can lead to something as complex and wonderful as a living organism! Thus, we can consider life to be an emergent property of what is essentially an accumulation of constituent parts that are somehow organized in a very precise way. This course lets you explore the concept of emergence using examples from materials science, mathematics, biology, physics, and neuroscience to illustrate how ordinary components when brought together can collectively yield unexpected, surprising behaviors. Note: The fractal image (Sierpinkski Triangle) depicted on the course home page was generated by a software application called XaoS 3.4, which is distributed by the Free Software Foundation under a GNU General Public License. Upon completing this course, you will be able to: 1. Explain the difference in assumptions between an emergent versus reductive approach to science. 2. Explain why the reductivist approach is understood by many to be inadequate as a means of describing and predicting complex systems. 3. Describe how the length scale used to examine a phenomenon can contribute to how you analyze and understand it. 4. Explain why the search for general principles that explain emergent phenomena make them an active locus of scientific investigation. 5. Discuss examples of emergent phenomena and explain why they are classified as emergent.

科学和日常生活中的新兴现象:在20世纪初期量子力学出现之前,大多数科学家认为,仅通过了解其组成部分的行为就可以预测宇宙中任何物体的行为。例如,如果可以写下系统中每个原子的运动方程式,则应该有可能解决这些方程式(借助于足够大的计算设备)并对该系统的未来做出准确的预测。 但是,有些系统违反了这一概念。考虑一个活细胞,它主要由碳,氢和氧以及其他微量元素组成。我们可以单独研究这些组件,而无需想像如何以正确的方式将它们组合会导致像生物体一样复杂而美妙的事物!因此,我们可以将生命视为本质上本质上是组成部分的积累的新兴属性,这些组成部分以某种非常精确的方式组织起来。 通过本课程,您可以使用材料科学,数学,生物学,物理学和神经科学中的示例探索出现的概念,以说明将普通成分组合在一起时如何共同产生意外的,令人惊讶的行为。 注意:课程首页上显示的分形图像(Sierpinkski Triangle)是由名为XaoS 3.4的软件应用程序生成的,该软件应用程序是由自由软件基金会根据GNU通用公共许可证发行的。 完成本课程后,您将能够: 1.解释新兴科学方法与还原科学方法之间的假设差异。 2.解释为什么许多人认为还原性方法不足以描述和预测复杂系统。 3.描述用于检查现象的长度尺度如何有助于您分析和理解它。 4.解释为什么寻求解释出现现象的一般原理使它们成为科学研究的活跃场所。 5.讨论突发现象的示例,并解释为什么将它们归类为突发事件。

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