Algorithms to Live By : The Computer Science of Human Decisions

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Algorithms to Live By
: The Computer Science of Human Decisions

作者:BrianChristian/TomGriffiths

出版社:HenryHoltandCo.

副标题:TheComputerScienceofHumanDecisions

出版年:2016-4-19

页数:368

定价:USD30.00

装帧:Hardcover

ISBN:9781627790369

内容简介
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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.

作者简介
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About the Author

Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco.

Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley.

目录
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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

评论 ······

Have you updated your OS today yet? #wethebots

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。

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."

"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…

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