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
##適閤文科生，無編程基礎的人看。作者花瞭很大的精力請瞭一些算法如何在普通人生活中應用，對我有很多啓發。
評分##作者將計算機的算法運用在生活中例子。其中第1，2章寫的真好。Optimal stopping提到的37%rule，Explore/Exploit寫齣瞭人永遠在有限時間有限信息做最好選擇的現實，短期利益和長期投資的mixed strategy。其他幾章內容平時也接觸到瞭，但還是有部分內容有趣，如，信息終端無處不在的sorting推薦，overfitting大數據不如人的知覺，Erlang分布還是第一次聽到，路由器的Bufferbloat猶如現實的交通堵塞，總之算法能寫成這樣有趣還是不錯的。
評分##聽NPR的采訪知道的這本書，印象是如何用算法幫助你找對象和收拾傢。真讀瞭以後感覺那些生活小竅門都是錶層，這書的本質是用CS的角度去思考，從解決計算問題延伸到哲學。感觸最深的是貝葉斯那章，人們都對prior有很好的直覺，但是這個直覺不停的在被追求吸引眼球的新聞扭麯。尤其現在這個一開電腦一摸手機，簡直是一個人一個泡泡的世界裏，protect your prior太艱辛瞭
評分##白話版的計算機算法課程
評分##數學傢教做人
評分##《指導生活的算法》 生活中的很多復雜決策，看上去沒有規律可循，實際上是可以用算法來解決的。e.g.找對象用到的37%法則 很多時候我們會沉迷在細節裏，看不清大方嚮，其實是犯瞭數學上的過度擬閤錯誤。 時間問題本質上是個數學問題，用數學傢的辦法管理時間，纔能活得更有效率。
評分##上當瞭，騙子東抄西湊攢的垃圾，懷疑丫用搜索引擎寫的，看作者努力過，兩星夠瞭。
評分##適閤文科生，無編程基礎的人看。作者花瞭很大的精力請瞭一些算法如何在普通人生活中應用，對我有很多啓發。
評分##上當瞭，騙子東抄西湊攢的垃圾，懷疑丫用搜索引擎寫的，看作者努力過，兩星夠瞭。
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