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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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...  

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生活中其实处处有数学,能帮助我们进行思考。真实模型过于复杂,简化后的数学模型能找到最优解,但与现实相差甚远,不过也能为选择做出参考。 看完这本书,直接想到非诚勿扰选择红蓝区女生的情况。按照书中的数学模型,也可以优化。红蓝区各12个,可以先把前面4个放到蓝区,作...

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持续21天的《算法之美》同读打卡结束:现贴出本书的摘抄和感悟,希望对其他读者有所帮助。 2018.10.08《算法之美》第一章 1. 今日关键词:给定量。几乎不会随着时代的变迁而发生改变的事情,在代数学上,被称为给定量。例如符合自然规律,很难被改变的现象。 2. 无信息博弈。我...  

用户评价

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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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其实到不了 live by 的程度,但是我仍然觉得这本书用对了倍镜。它离生活智慧和书本算法都足够远,站在了中间点。你当然不能得到什么中彩票的秘诀,也没看到常青藤级别的计算机课程。虽然目录看上去越来越像教科书,但读者能得到的是一种生活观:生活并不凡庸,寻常琐事皆有解。“But this doesn’t mean that bad equilibria can’t be fixed. It just means that the solution is going to have to come from somewhere else.” 在坐地抱怨哭闹前,先持续得找解方案,一直找下去也比就此认定一切都是鸡毛和傻逼然后走上如何精致得撒谎撕逼再装作毫不在乎强。

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听NPR的采访知道的这本书,印象是如何用算法帮助你找对象和收拾家。真读了以后感觉那些生活小窍门都是表层,这书的本质是用CS的角度去思考,从解决计算问题延伸到哲学。感触最深的是贝叶斯那章,人们都对prior有很好的直觉,但是这个直觉不停的在被追求吸引眼球的新闻扭曲。尤其现在这个一开电脑一摸手机,简直是一个人一个泡泡的世界里,protect your prior太艰辛了

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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% | 关键在于时间,假设你还打算住很久,那就应该去积极探索新事物,冒点险是值得的 | 避免过度拟合 1限定思考时间。比如一天小时之内必须完成报告。2限定内容长度。比如 “电梯谈话” 。3在白板上讨论商业计划,要使用粗的马克笔,笔画越粗,对你的思维越有利,越能逼着你去考虑大局

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