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
##數學傢教做人
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
評分##某章提到瞭已經被debunk的marshmellow experiment，瞬間掉分。
評分##數學傢教做人
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##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##強烈推薦給非CS從業者：先以非常直觀的方式介紹算法，然後提升到哲學高度和你談人生。。。對於從業者來說也應該是不錯的消遣讀物
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。
相關圖書
本站所有內容均為互聯網搜尋引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 book.qciss.net All Rights Reserved. 圖書大百科 版權所有