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)
具体描述
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.
用户评价
##Have you updated your OS today yet? #wethebots
评分##关于算法的理性与感性，比如博弈论结尾这段儿："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."
评分##适合文科生，无编程基础的人看。作者花了很大的精力请了一些算法如何在普通人生活中应用，对我有很多启发。
评分##最理性的做决定方式是：先收集一个不大不小的样本，对所处的世界有一个相对充分的了解，再做出选择。反过来说，如果遇到正在采样期的人，你做得再好，最多就是给别人提供一个数据点，基本没有用
评分##37% | 关键在于时间，假设你还打算住很久，那就应该去积极探索新事物，冒点险是值得的 | 避免过度拟合 1限定思考时间。比如一天小时之内必须完成报告。2限定内容长度。比如 “电梯谈话” 。3在白板上讨论商业计划，要使用粗的马克笔，笔画越粗，对你的思维越有利，越能逼着你去考虑大局
评分##《指导生活的算法》 生活中的很多复杂决策，看上去没有规律可循，实际上是可以用算法来解决的。e.g.找对象用到的37%法则 很多时候我们会沉迷在细节里，看不清大方向，其实是犯了数学上的过度拟合错误。 时间问题本质上是个数学问题，用数学家的办法管理时间，才能活得更有效率。
评分##强烈推荐给非CS从业者：先以非常直观的方式介绍算法，然后提升到哲学高度和你谈人生。。。对于从业者来说也应该是不错的消遣读物
评分##最理性的做决定方式是：先收集一个不大不小的样本，对所处的世界有一个相对充分的了解，再做出选择。反过来说，如果遇到正在采样期的人，你做得再好，最多就是给别人提供一个数据点，基本没有用
评分##某章提到了已经被debunk的marshmellow experiment，瞬间掉分。
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