In a rented convent in Santa Fe, a revolution has been brewing. The activists are not anarchists, but rather Nobel Laureates in physics and economics such as Murray Gell-Mann and Kenneth Arrow, and pony-tailed graduate students, mathematicians, and computer scientists down from Los Alamos. They've formed an iconoclastic think tank called the Santa Fe Institute, and their radical idea is to create a new science called complexity. These mavericks from academe share a deep impatience with the kind of linear, reductionist thinking that has dominated science since the time of Newton. Instead, they are gathering novel ideas about interconnectedness, coevolution, chaos, structure, and order - and they're forging them into an entirely new, unified way of thinking about nature, human social behavior, life, and the universe itself. They want to know how a primordial soup of simple molecules managed to turn itself into the first living cell - and what the origin of life some four billion years ago can tell us about the process of technological innovation today. They want to know why ancient ecosystems often remained stable for millions of years, only to vanish in a geological instant - and what such events have to do with the sudden collapse of Soviet communism in the late 1980s. They want to know why the economy can behave in unpredictable ways that economists can't explain - and how the random process of Darwinian natural selection managed to produce such wonderfully intricate structures as the eye and the kidney. Above all, they want to know how the universe manages to bring forth complex structures such as galaxies, stars, planets, bacteria, plants, animals, and brains. There are commonthreads in all of these queries, and these Santa Fe scientists seek to understand them. Complexity is their story: the messy, funny, human story of how science really happens. Here is the tale of Brian Arthur, the Belfast-born economist who stubbornly pushed his theories of economic ch
这本书并非艰涩的物理教课书 这本书是引领你进入宇宙真理的导航 正像书评中说的,掌握了复杂系统的人,将成为是未来的超级力量 有点扯淡是吗? 建议你先去了解一下混沌,自组织,和进化 看完全书,总结下来的复杂系统层次是这样的 1、正反馈和自组织 这是将静态,推向混沌...
评分这是一本早就听说过的好书。我的硕士导师指定的必读书之一。我看了第一章,已经觉得很受吸引了。为此我还查阅了encarta上的美国地图,考察了旧金山的几座大桥,沿着阿瑟的行走路线好好地神游了一番。我还上google搜索了阿瑟的照片,下载了下来。我在看书的时候,禁不住会有一种...
评分花了两三个小时浏览完了这本书,简单评价一下: 这是一本传记性质的书,作为传记,写得非常精彩,译者译笔也非常传神。但如果任何人想要从中获得有价值的科学理论,那还是找两本专业的书来看看吧。整个这本书对于理论的描述是非常大而化之的(如果还不能算不靠谱的话),泛泛...
评分如果说作家是人类的良心,那么科学家毫无疑义的担当起了人类的智力。他们用他们非凡美妙的想象力和无比坚韧的毅力带领着我们,领略世界,了解自己。 首先,我相信这本书对大多数人来说会是一个很丰富的阅读过程,其间涉及的从生物化学宇宙起源的物理探索到电子人工智能跨领域...
评分《复杂》这本书的出版可以说给中国的学术界打开了一扇窗子,让我们真正的了解了国外的复杂性科学。有人称《复杂》这本书是复杂性科学的“圣经”我看也一点不为过。《复杂》类似于纪实小说,读起来轻松愉快,然而这也许会让不熟悉的人摸不到头脑,因为单单从每一章的标题根...
基本上是复杂性科学的研究机构ST-F的历史 原来很多概念都是相通的,混沌的边缘,生命的涌现与进化,股市的涨落,物质的二级相变。。。有趣啊有趣
评分研究复杂系统的先驱们的故事
评分生命和经济系统根据简单规则就能演化成复杂的形态很是让人振奋 不过这种从底层赋予规则和最新AI的连规则都不赋予孰优孰略还需再读几本....
评分生命和经济系统根据简单规则就能演化成复杂的形态很是让人振奋 不过这种从底层赋予规则和最新AI的连规则都不赋予孰优孰略还需再读几本....
评分很久以前就读过。中文版本已经成为国内复杂性研究领域的启蒙书。
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