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
##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##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
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##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##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。
评分##跟着小组分享重读了一遍
评分##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
评分##算法入门，不错的科普书和科学自救手册
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。
