标签: “复杂科学”
复杂 [图书] 豆瓣
Complexity: The Emerging Science at the Edge of Order and Chaos
9.0 (17 个评分) 作者: [美] 米歇尔·沃尔德罗普 译者: 陈玲 生活·读书·新知三联书店 1997 - 4
这部书叙述一群美国科学家如何开创“21世纪的科学”的故事,对正在形成的科学的复杂体系做了深入浅出的描述。介绍了“一场新的启蒙运动”。故事是,美国的一些不同领域的科学家们越来越无法忍受自牛顿以来一直主导科学的线性和还原的思想束缚。他们在各自领域发现,这个世界是一个相互关联和相互进化的世界,并非线性发展的,并非现有科学可以解释清楚的。他们认为这个世界上不仅存在着混沌,也存在着结构和秩序,他们逐渐将自己的新发现和新观点聚集起来,共同努力形成对整个自然界,对人类社会的一个全新的认识。
Idea Makers [图书] 豆瓣
作者: Stephen Wolfram Wolfram Media, Inc. 2016 - 7
摘自 Wolfram 本人blog
I spend most of my time trying to build the future with science and technology. But for many years now I’ve also had two other great interests: people and history. And today I’m excited to be publishing my first book that builds on these interests. It’s called Idea Makers, and its subtitle is Personal Perspectives on the Lives & Ideas of Some Notable People. It’s based on essays I’ve written over the past decade about a range of people—from ones I’ve personally known (like Richard Feynman and Steve Jobs) to ones who died long before I was born (like Ada Lovelace and Gottfried Leibniz).
The book is about lives and ideas, and how they mix together. At its core it’s a book of stories about people, and what those people managed to create. It’s the first book I’ve written that’s fundamentally non-technical—and I’m hoping all sorts of readers without deep technical interests will be able to enjoy it.
爆发 [图书] 豆瓣 Goodreads
Bursts: The Hidden Pattern Behind Everything We Do
作者: [美] 艾伯特-拉斯洛·巴拉巴西 译者: 马慧 中国人民大学出版社 2012 - 6
1. 本书是一本超越《黑天鹅》的惊世之作。如果说塔勒布认为人类行为是随机的,都是小概率事件,是不可以预测的;那么全球复杂网络权威Barabasi则认为,人类行为93%是可以预测的。
2. Barabasi的研究是在人类生活数字化的大数据时代基础上进行的,移动电话、网络以及电子邮件使人类 行为变得更加容易量化,将我们的社会变成了一个巨大的数据库。他认为,人类正处在一个聚合点上,在这里数据、科学以及技术都联合起来共同对抗那个最大的谜题——我们的未来。
3. 在本书中,Barabasi揭开人类行为背后隐藏的模式“爆发”,提出人类日常行为模式不是随机的,而是具有“爆发性”的。爆发揭开了人类行为中令人惊讶的深层次的秩序,使得人类变得比预期中更容易预测得多。
4.爆发模式的揭示,其影响力将与20世纪初期的物理学或者基因革命的影响力不相上下。
反直觉思考 [图书] 豆瓣
Think Twice
作者: 【美】迈克尔·莫布森 译者: 王昭力 中国友谊出版公司 2014 - 8
为什么你制定计划的时候信心满满,最后却总是完不成?
为什么我们明知概率极低,却依然喜欢买彩票?
为什么每一个决定都符合逻辑,最终却没有得到好结果?
为什么“天才少年”非常努力,大多数都没有成功?
为什么“专家”总被看成“砖家”,却依然是权威?
为什么最聪明的人会犯一些最低级的错误?
我们的所有思考都基于大脑的“默认设置”,使用的是百万年进化形成的“自带软件”,这种思维模式就是直觉思维,是我们所迷信的因果、逻辑、秩序,但它已经不能适应这个互联网和大数据时代。要想做决定、做选择的时候不犯错误,我们必须掌握反直觉的思考方法。
本书运用大数据、心理学、金融学、管理学、复杂科学的理论,结合生活小事、商界案例、心理实验等实例,生动地为你解读固有思维模式常犯的错误和纠正的方法。你可以辨别潜意识中的认知陷阱,也可以在别人的失误中掌握先机。
为什么我们需要反直觉思考?因为谁的思维率先进化,谁就能拥有未来。大脑的“默认设置”和“自带软件”已经不能适应这个互联网和大数据时代。而你要想适应这个新时代,必须改变自己的思维方式。
《反直觉思考》入选了斯坦福大学、普林斯顿大学等28家美国名校的思维自修课书目,美国原版由哈佛商业评论出版社出版,并荣登亚马逊、纽约时报的同类别畅销书,获得亚马逊CEO杰夫•贝佐斯、诺贝尔经济学奖得主丹尼尔•卡尼曼、《点球成金》原型比利•比恩,以及多位哈佛大学教授的推荐,美国《商业周刊》《快公司》《时代》《福布斯》《纽约客》等权威媒体都撰写撰文推荐本书,称其为“你最不希望对手读到的书”。
复杂性思维:物质、精神和人类的计算动力学 [图书] 豆瓣
Thinking in Complexity
作者: [德]迈因策尔 译者: 曾国屏 / 苏俊斌 上海辞书出版社 2014 - 4
复杂性科学是可与相对论、量子力学媲美的20世纪重大科学突破之一。在某种意义上,复杂性对整个科学体系的影响,也许比后两者更深刻、更广泛。进入21世纪,探索和理解复杂性,依然受到自然、社会、人文等各学科的共同关注。德国著名哲学家、复杂性科学专家克劳斯o迈因策尔教授的这本名著已出至第五版,它从哲学的高度,广泛涉猎物理学、生命科学、认知科学、计算机科学、经济学、社会学等诸多方面,揭示了不同学科体现出的共同的复杂性特征,以详尽而不失之繁琐的例证,和严谨而又尽可能通俗的笔法,阐释了对复杂性的探索将如何引起人们思维方式的深刻变化。
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沙地上的图案 [图书] 豆瓣
1999 - 10
《沙地上的图案》内容简介:生命究竟是什么?难道生命无非是一种特殊而复杂的碳水化合物?还是某种更为微妙的东西?植物,动物,大脑.恒星乃至银河,宇宙中力什么会存在这样一些令人惊叹的精妙的结构?现在,产生了一门新科学——关于复杂性的科学,将试图解释这一切:世界是如何组合起来的。
《沙地上的图案》作者特瑞·波索马特尔和大卫·格林,在该领域作出了重要贡献的国际著名学者,向我们讲述了秩序与混乱的法则。波索马特尔教授的研究重点是神经计算,格林教授的研究重点是环境信息。
系统论 [图书] 豆瓣
作者: 魏宏森 曾国屏 世界图书出版公司 2009 - 9
《系统论:系统科学哲学》立足于一般系统论、信息论、控制论、耗散结构论、协同论、超循环理论、突变论、混沌理论和分形理论等系统科学理论,探索了系统科学古今中外的四方面来源,考察了从宇宙、生命、精神、生态到社会五大系统的基本特征,概括出八条系统论原理和五条系统论规律,提出了一个完整的系统论体系。《系统论:系统科学哲学》气势宏大,立意深刻,论述严谨,富有时代感。《系统论:系统科学哲学》使用的是世界图书出版公司2009年版本。
Chaos and Fractals [图书] 豆瓣
作者: Feldman, David P. Oxford University Press 2012 - 10
This book provides the reader with an elementary introduction to chaos and fractals, suitable for students with a background in elementary algebra, without assuming prior coursework in calculus or physics. It introduces the key phenomena of chaos - aperiodicity, sensitive dependence on initial conditions, bifurcations - via simple iterated functions. Fractals are introduced as self-similar geometric objects and analyzed with the self-similarity and box-counting dimensions. After a brief discussion of power laws, subsequent chapters explore Julia Sets and the Mandelbrot Set. The last part of the book examines two-dimensional dynamical systems, strange attractors, cellular automata, and chaotic differential equations. The book is richly illustrated and includes over 200 end-of-chapter exercises. A flexible format and a clear and succinct writing style make it a good choice for introductory courses in chaos and fractals.
Two's Company, Three Is Complexity [图书] 豆瓣
作者: Neil F. Johnson Oneworld Publications 2007
Preface
It is 2050, and you are watching Who Wants to be a Billionaire? The contestant is one question away from the jackpot. Up comes his
question: “What is the name of the theory that scientists started developing at the beginning of the twenty-first century, and
which helped the world overcome traffic congestion, financial market crashes, terrorist attacks, pandemic viruses, and cancer?” The contestant cannot believe his luck. What an easy question! But he is so nervous that his mind temporarily goes blank. He starts to consider option A: “They are all still unsolved problems” – but then quickly realizes that this is a dumb answer. Instead, he uses his last lifeline to ask the audience. The audience responds unanimously and instantaneously with option B: “The Theory of Complexity”. Without hesitation, he goes with option B. The host hands him the cheque, and the world has yet another billionaire.
Pure fantasy? Maybe not.
In this book, we will go on a journey to the heart of Complexity, an emerging science which looks set to trigger the next great wave of advances in everything from medicine and biology through to economics and sociology. Complexity Science also comes with the
prospect of solving a wide range of important problems which face us as individuals and as a Society. Consequently, it is set to permeate through every aspect of our lives.
There is, however, one problem. We don’t yet have a fullyfledged “theory” of Complexity. Instead, I will use this book to assemble all the likely ingredients of such a theory within a common framework, and then analyze a wide range of real-world applications within this same common framework. It will then require someone from the future – perhaps one of the younger readers of this book – to finally put all these pieces into place.
Complexity Science is a double-edged sword in the best possible sense. It is truly “big science” in that it embodies some of the hardest, most fundamental and most challenging open problems in academia. Yet it also manages to encapsulate the major practical issues which face us every day from our personal lives and health, through to global security. Making a pizza is complicated, but not complex. The same holds for filling out your tax return, or mending a bicycle puncture. Just follow the instructions step by step, and you will eventually be able to go from start to finish without too much trouble. But imagine trying to do all three at the same time. Worse still, suppose that the sequence of steps that you follow in one task actually depends on how things are progressing with the other two. Difficult? Well, you now have an indication of what Complexity is all about. With that in mind, now substitute those three interconnected tasks for a situation in which three interconnected people each try to follow their own instincts and strategies while reacting to the actions of the others. This then gives an idea of just how Complexity
might arise all around us in our daily lives.
While I was writing this book, I had the following “wish-list” in my head concerning its goals:
1. To provide a book which a wide cross-section of people would want to read and would enjoy reading – regardless of age,
background or level of scientific knowledge.
2. To introduce readers to the exciting range of real-world scenarios in which Complexity Science can prove its worth.
3. To provide the book on Complexity that “I never had but always needed”. In other words, to provide an easily readable yet thorough guide to this important scientific revolution.
4. To provide a book that my kids could read – or rather, a book that they would actually choose to read all by themselves. This is a very important goal, since Complexity will likely become the science of interest for future generations.
5. To provide a book which is just as readable on a plane or bus as in a library. As such, it should also make sense when read in short chunks.
6. To provide a book which provides professional scientists,economists, and policy-makers with a new perspective on
open problems in their field, and to help stimulate new Complexity-based interdisciplinary research projects.
However, as I finish the book and offer it up to potential readers,I realize that the above wish-list can essentially be reduced to just
one item: I would wish that you enjoy reading this book, and that it might provide you with fresh thoughts and insights for dealing
with the complex world in which we live, and which our children will inherit.
There are some practicalities concerning the book’s content and layout which I would like to explain. The language, examples and
analogies are kept simple since the focus of the book is to explain what Complexity Science is all about, and why it is so important for
us all. I therefore avoid delving into too much detail in the main text. Instead, the Appendix describes how to access the technical
research papers upon which the discussions in the book are based, and gives a list of Internet websites containing additional information about Complexity research around the world. Having said this, I won’t pull any punches in the sense that I tackle all the topics
which I believe to be relevant. Part 1 of the book takes us through the theoretical underpinnings of Complexity, while Part 2
delves into its real-world applications. Some of the territory is only just beginning to be explored, with very few answers available
for the questions being posed. From the perspective of other scientific revolutions throughout history this might seem to be par
for the course. However we are not talking about history here –instead, we are looking at work which is emerging at the forefront
of a new discipline. For this reason we will be highlighting where such research is heading, rather than where it has been.
But why should you believe what I write about Complexity? This is a crucially important question given that Complexity Science is still being developed and its potential applications explored. Unfortunately many accounts of Complexity in the popular press are second-hand, i.e. they are typically written by people who have done little, if any, research on Complexity themselves and are instead reporting on their interpretation of
other people’s work. Given the relatively immature nature of the field, I believe that such indirect interpretations are potentially
dangerous. For this reason, I will base the book’s content around my own research group’s experience in Complexity. This has
various advantages: (i) it reflects my own understanding of the Complexity field; (ii) it represents what I believe to be the most
relevant and important topics; (iii) it will hopefully give the reader a sense of what it is like to be at the “pit-face” in such a
challenging area of research; and (iv) it ensures that any reader can challenge me directly on any claims that I make, and can
demand an informed answer. To facilitate this process of public scrutiny, a complete list of the relevant scientific research reports
is presented in the latter part of the Appendix. I also encourage any readers who wish to email me with questions, to do so at
n.johnson@physics.ox.ac.uk
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