Algorithms to Live By

Algorithms to Live By pdf epub mobi txt 電子書 下載 2026

Brian Christian
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Introduction 1
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

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

##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

##算法入門,不錯的科普書和科學自救手冊

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

##《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

##指導生活的算法。戀愛的年齡與猶豫比例決策。時間保守與開放的選擇。

評分

##37%規則:以買房為例,目標一年內,前 37% 的時間隻看不買,在預算內瞭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,等到過瞭 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。數學傢的時間管理思維: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。

評分

##某章提到瞭已經被debunk的marshmellow experiment,瞬間掉分。

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...)

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