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)
具體描述
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.
用戶評價
##算法入門，不錯的科普書和科學自救手冊
評分##其實到不瞭 live by 的程度，但是我仍然覺得這本書用對瞭倍鏡。它離生活智慧和書本算法都足夠遠，站在瞭中間點。你當然不能得到什麼中彩票的秘訣，也沒看到常青藤級彆的計算機課程。雖然目錄看上去越來越像教科書，但讀者能得到的是一種生活觀：生活並不凡庸，尋常瑣事皆有解。“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.” 在坐地抱怨哭鬧前，先持續得找解方案，一直找下去也比就此認定一切都是雞毛和傻逼然後走上如何精緻得撒謊撕逼再裝作毫不在乎強。
評分##"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"，確實如此，希望我本科時就讀過 (不過16年纔齣來呀...)
評分##其實到不瞭 live by 的程度，但是我仍然覺得這本書用對瞭倍鏡。它離生活智慧和書本算法都足夠遠，站在瞭中間點。你當然不能得到什麼中彩票的秘訣，也沒看到常青藤級彆的計算機課程。雖然目錄看上去越來越像教科書，但讀者能得到的是一種生活觀：生活並不凡庸，尋常瑣事皆有解。“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.” 在坐地抱怨哭鬧前，先持續得找解方案，一直找下去也比就此認定一切都是雞毛和傻逼然後走上如何精緻得撒謊撕逼再裝作毫不在乎強。
評分##數學傢教做人
評分##最理性的做決定方式是：先收集一個不大不小的樣本，對所處的世界有一個相對充分的瞭解，再做齣選擇。反過來說，如果遇到正在采樣期的人，你做得再好，最多就是給彆人提供一個數據點，基本沒有用
評分##"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"，確實如此，希望我本科時就讀過 (不過16年纔齣來呀...)
評分##最理性的做決定方式是：先收集一個不大不小的樣本，對所處的世界有一個相對充分的瞭解，再做齣選擇。反過來說，如果遇到正在采樣期的人，你做得再好，最多就是給彆人提供一個數據點，基本沒有用
評分##某章提到瞭已經被debunk的marshmellow experiment，瞬間掉分。
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