《复杂:入门导览》封面

复杂:入门导览

Complexity: A Guided Tour

Melanie Mitchell · 初版 2009 年

6人推荐
8位读者提及
8次提及

究竟是什么让蚂蚁这种个体简单的昆虫能够作为一个群体展现出如此精准且有目的性的行动?数万亿个独立的神经元又是如何产生像意识这样极其复杂的事物的?是什么在指引着免疫系统、万维网、全球经济和人类基因组等自组织结构?这些只是复杂性科学试图回答的几个引人入胜且悬而未决的问题。在这本通俗易懂且亲切宜人的著作中,顶尖复杂系统科学家Melanie Mitchell对这门学科进行了深入而详尽的导览,

Hacker News 上怎么说

  • Danny Hillis 写的《The Pattern on the Stone》(https://en.m.wikipedia.org/wiki/The_Pattern_on_the_Stone),还有 Melanie Mitchell 写的《Complexity: A Guided Tour》(https://melaniemitchell.me/BooksContent/CAGTReviews.html)

    The Pattern on the Stone by Danny Hillis (https://en.m.wikipedia.org/wiki/The_Pattern_on_the_Stone) Complexity a Guided Tour by Melanie Mitchell (https://melaniemitchell.me/BooksContent/CAGTReviews.html)

  • ……复杂系统的骨架,所以非常值得深入研究。图论/拓扑学紧随其后。Latora、Nicosia 和 Russo 写的《Complex Networks》是一本从图论视角切入的不错入门书。Melanie Mitchell 的《Complexity: A Guided Tour》是一本很棒且简明扼要的入门作。我还可以推荐 Stein 和 Newman 写的《Spin Glasses and Complexity》。自旋玻璃基本上就是复杂性科学里的“模式生物”,所以它……

    …backbones of complex systems, so it's worth delving into. Graph theory/topology is a close second. Complex Networks by Latora, Nicosia, and Russo is a nice introduction to the graph-theoretical perspective. Complexity: A Guided Tour by Melanie Mitchell is a nice and brief introduction. I can also recommend Spin Glasses and Complexity by Stein and Newman. Spin glasses are basically the "model organism" of complexity science, so it…

  • 读 Meadows 的《Thinking in Systems》的同时,我也读了 Mitchell 的《Complexity: A Guided Tour》,书如其名——就是用大量实例做了一场相当浅显的导览。作为起步书非常合适,因为里面的参考文献书单很长。

    Along with Meadows' Thinking in Systems I read Mitchell's Complexity: A Guided Tour, which is just that - a reasonably superficial tour over many examples. It's a very good starting point since it's got a long bibliography.

  • Melanie Mitchell 的《Complexity: A Guided Tour》是该领域不可多得的入门好书。既然在安利她的书,那就顺便提一下,她最新出的那一本是我见过的写给大众读者的关于机器学习和 AI 最好的书之一。我强烈推荐……

    Melanie Mitchell’s “Complexity: A Guided Tour” is a superb introduction to this area. And while I’m plugging her books, her latest one is one of the best-written lay-audience books about machine learning and AI that I’ve seen. I strongly recommended…

  • ……表现得像一个会思考的系统。这正是复杂系统理论、混沌理论,甚至像 Hofstadter 和 Dennett 的早期 AI 研究的核心观点。如果你感兴趣,推荐读读《Gödel, Escher, Bach》,或者 Melanie Mitchell 的《Complexity: A Guided Tour》。如果你坚称还有别的什么东西,知识或创造力中存在某种非物理或非涌现的成分,那我真的洗耳恭听,因为这可是个很大胆的论断。……

    …behaving like a thinking system. That’s the whole point of complex systems theory, chaos theory, and even early AI work like Hofstadter and Dennett. I recommend "Gödel, Escher, Bach", or Melanie Mitchell's "Complexity: A Guided Tour", if you're curious. If you're arguing there's something else, some kind of unphysical or non-emergent component to knowledge or creativity, I'd honestly love to hear more, because that's a bold claim.…

  • ……几乎所有历史学家的记录——在随后的数百年里让许多制度走向了现代化(比如从餐具到数学和科学)。我认为探讨西方成功的最相关的书叫做《Complexity: A Guided Tour》

    …almost all historian accounts - modernized many institutions over the subsequent hundreds of years (eg, from cutlery to math and science). I think the most relevant book on the west’s success is called complexity: a guided tour

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