Algorithms to Live By

梦幻的彼岸

内容简介：

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.

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网页翻译：
关于如何将计算机算法的见解应用于我们的日常生活的有趣探索，有助于解决常见的决策问题并阐明人的思维方式
 
我们所有的生活都受到有限的时间和空间的限制，这些限制会引发一系列特定的问题。在一天或一生中，我们应该做什么或不做任何事情？我们应该接受多少混乱？新活动和熟悉的收藏夹之间最平衡的是什么？这些看似独特的人类难题，但事实并非如此：计算机也面临相同的约束，因此计算机科学家数十年来一直在努力解决此类问题。他们找到的解决方案对我们有很多启发。
 
在令人眼花inter乱的跨学科工作中，著名作家布莱恩·克里斯蒂安（Brian Christian）和认知科学家汤姆·格里菲思（Tom Griffiths）展示了计算机所使用的算法如何也可以解决非常人性化的问题。他们解释了如何拥有更好的预感，何时给事物留下机会，如何应对压倒性的选择，以及如何与他人最好地保持联系。从寻找配偶到寻找停车位，从组织收件箱到了解内存的工作方式，Algorithms to Live By将计算机科学的智慧转化为人类生存的策略。

目录

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

备注

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