Algorithms to Live By

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About the Author

Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.

Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.

出版者:Henry Holt and Co.
作者:Brian Christian
出品人:
页数:368
译者:
出版时间:2016-4-19
价格:USD 30.00
装帧:Hardcover
isbn号码:9781627790369
丛书系列:
图书标签:
  • 算法 
  • 思维 
  • 计算机 
  • Algorithms 
  • 方法论 
  • 科普 
  • 数学 
  • 心理学 
  •  
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A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind

All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.

In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

具体描述

读后感

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看过后才知道自己的办法少,关键还是算法少。潜意识里使用的算法有时间还不科学。书的内容比较深奥,原以为是翻译的问题,其实是自己的思维没有跟上布莱恩。开始给了4星,又改为5星。虽为理科男,以前的死板的数学似乎除了考试没啥用处,读了本书 那才被惊艳到,作者把以死板的...  

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终于读完了,有些失望。 开始的时候还挺有趣的,摆了一个应用题,让你考虑。有一些有趣的计算机方面的问题与算法。但是算法是无穷无尽的,作者们似乎一直在掉书袋,给了引文参考,一些历史的注记,但是导致书的脉络支离破碎。想象一下,这本书的难度比维基百科还低,但是想要覆...  

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这本书,算法科普得并不清楚,结合生活的部分又很啰嗦。不过这个思路是值得肯定的。有时候编程的时候知道用算法,一到生活中就忘了用。比如第3章“排序”,就提到让东西乱糟糟的有时反而是最高效的。编程的时候都知道,如果以后不搜索或极少搜索,那就没必要排序。但生活中有时...  

用户评价

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"A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind",确实如此,希望我本科时就读过 (不过16年才出来呀...)

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37%規則:以買房為例,目標一年內,前 37% 的時間只看不買,在預算內了解一下市場上哪些房子你喜歡,哪些不喜歡,記住這個階段內你看到過的最滿意的那個,等到過了 37% 這個時間點,一旦遇到比前一階段那個最好的房子好,或者類似的房子,就毫不猶豫地買下來。數學家的時間管理思維:1. 最近截止日期優先 2. 如果最近截止日期優先法還是做不完,優先放棄佔用時間最長的任務 3. 如果牽涉到別人的等待時間,則完成時間短的任務優先 4. 小事與要事的衡量公式,任務密度 = 重要程度 / 完成時間,然後按照任務的密度由高到低的順序去做。

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《指导生活的算法》 生活中的很多复杂决策,看上去没有规律可循,实际上是可以用算法来解决的。e.g.找对象用到的37%法则 很多时候我们会沉迷在细节里,看不清大方向,其实是犯了数学上的过度拟合错误。 时间问题本质上是个数学问题,用数学家的办法管理时间,才能活得更有效率。

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37%規則:以買房為例,目標一年內,前 37% 的時間只看不買,在預算內了解一下市場上哪些房子你喜歡,哪些不喜歡,記住這個階段內你看到過的最滿意的那個,等到過了 37% 這個時間點,一旦遇到比前一階段那個最好的房子好,或者類似的房子,就毫不猶豫地買下來。數學家的時間管理思維:1. 最近截止日期優先 2. 如果最近截止日期優先法還是做不完,優先放棄佔用時間最長的任務 3. 如果牽涉到別人的等待時間,則完成時間短的任務優先 4. 小事與要事的衡量公式,任務密度 = 重要程度 / 完成時間,然後按照任務的密度由高到低的順序去做。

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适合文科生,无编程基础的人看。作者花了很大的精力请了一些算法如何在普通人生活中应用,对我有很多启发。

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