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
##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##關於算法的理性與感性，比如博弈論結尾這段兒："The road to hell is paved with intractable recursions, bad equilibria, and information cascades, seek out games where honesty is the dominant strategy, then just be yourself."
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##37% | 關鍵在於時間，假設你還打算住很久，那就應該去積極探索新事物，冒點險是值得的 | 避免過度擬閤 1限定思考時間。比如一天小時之內必須完成報告。2限定內容長度。比如 “電梯談話” 。3在白闆上討論商業計劃，要使用粗的馬剋筆，筆畫越粗，對你的思維越有利，越能逼著你去考慮大局
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##白話版的計算機算法課程
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...)
評分看之前就比較擔心是不是太trivial都是已經知道的東西，結果不幸料中。不過也好，打消瞭我寫類似書的想法
評分看之前就比較擔心是不是太trivial都是已經知道的東西，結果不幸料中。不過也好，打消瞭我寫類似書的想法
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