Algorithms to Live By
1 Optimal Stopping 9
When to Stop Looking
2 Explore/Exploit 31
The Latest vs. the Greatest
3 Sorting 59
Making Order
4 Caching 84
Forget About It
5 Scheduling 105
First Things First
6 Bayes’s Rule 128
Predicting the Future
7 Overfitting 149
When to Think Less
8 Relaxation 169
Let It Slide
9 Randomness 182
When to Leave It to Chance
10 Networking 205
How We Connect
11 Game Theory 229
The Minds of Others
Conclusion 256
Computational Kindness
Notes 263
Bibliography 315
Acknowledgments 335
Index 339
· · · · · · (收起)
具体描述
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.
用户评价
##白话版的计算机算法课程
评分##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。
评分##Have you updated your OS today yet? #wethebots
评分##上当了，骗子东抄西凑攒的垃圾，怀疑丫用搜索引擎写的，看作者努力过，两星够了。
评分##作者将计算机的算法运用在生活中例子。其中第1，2章写的真好。Optimal stopping提到的37%rule，Explore/Exploit写出了人永远在有限时间有限信息做最好选择的现实，短期利益和长期投资的mixed strategy。其他几章内容平时也接触到了，但还是有部分内容有趣，如，信息终端无处不在的sorting推荐，overfitting大数据不如人的知觉，Erlang分布还是第一次听到，路由器的Bufferbloat犹如现实的交通堵塞，总之算法能写成这样有趣还是不错的。
评分##跟着小组分享重读了一遍
评分##上当了，骗子东抄西凑攒的垃圾，怀疑丫用搜索引擎写的，看作者努力过，两星够了。
评分看之前就比较担心是不是太trivial都是已经知道的东西，结果不幸料中。不过也好，打消了我写类似书的想法
评分##某章提到了已经被debunk的marshmellow experiment，瞬间掉分。
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