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Algorithms to Live By: The Computer Science of Human Decisions [Kõva köide]

4.13/5 (34182 hinnangut Goodreads-ist)
  • Formaat: Hardback, 368 pages, kõrgus x laius x paksus: 240x159x33 mm, kaal: 620 g
  • Ilmumisaeg: 21-Apr-2016
  • Kirjastus: William Collins
  • ISBN-10: 0008166099
  • ISBN-13: 9780008166090
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  • Formaat: Hardback, 368 pages, kõrgus x laius x paksus: 240x159x33 mm, kaal: 620 g
  • Ilmumisaeg: 21-Apr-2016
  • Kirjastus: William Collins
  • ISBN-10: 0008166099
  • ISBN-13: 9780008166090
Teised raamatud teemal:
A fascinating exploration of how computer algorithms can be applied to our everyday lives.





In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms used by computers can also untangle very human questions. Modern life is 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? The authors 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 human memory, Algorithms To Live By is full of practical takeaways to help you solve common decision-making problems and illuminate the workings of the human mind.

Arvustused

[ B]y the end of the book, I was convinced. Not because I endorse the idea of living like some hyper-rational Vulcan, but because computing algorithms could be a surprisingly useful way to embrace the messy compromises of real, non-Vulcan life Oliver Burkeman, Guardian



Ive been waiting for a book to come along that merges computational models with human psychology and Christian and Griffiths have succeeded beyond all expectations. This is a wonderful book, written so that anyone can understand the computer science that runs our world and more importantly, what it means to our lives David Eagleman



Compelling and entertaining, Algorithms to Live By is packed with practical advice about how to use time, space, and effort more efficiently. And its a fascinating exploration of the workings of computer science and the human mind. Whether you want to optimize your to-do list, organize your closet, or understand human memory, this is a great read Charles Duhigg



A truly beautiful exploration through math, computer science and philosophy of some of the most ordinary, yet most important dilemmas any of us is likely to face. Filled with humour and wisdom, this is a bible with a brain Aarathi Prasad

Introduction 1(8)
Algorithms to Live By
1 Optimal Stopping
9(22)
When to Stop Looking
2 Explore/Exploit
31(28)
The Latest vs. the Greatest
3 Sorting
59(25)
Making Order
4 Caching
84(21)
Forget About It
5 Scheduling
105(23)
First Things First
6 Bayes's Rule
128(21)
Predicting the Future
7 Overfitting
149(20)
When to Think Less
8 Relaxation
169(13)
Let It Slide
9 Randomness
182(23)
When to Leave It to Chance
10 Networking
205(24)
How We Connect
11 Game Theory
229(27)
The Minds of Others
Conclusion
256(7)
Computational Kindness
Notes 263(52)
Bibliography 315(20)
Acknowledgments 335(4)
Index 339
Brian Christian is the bestselling author of The Most Human Human, which was named a Wall Street Journal bestseller and a New Yorker favorite book of 2011. His writing has appeared in Wired, The Atlantic, The Wall Street Journal , and The Paris Review, among others. Brian has been a featured guest on The Daily Show with Jon Stewart, The Charlie Rose Show, NPR's Radiolab, and the BBC, and has lectured at Google, Microsoft, SETI, the Santa Fe Institute, the Royal Institution of Great Britain, and the London School of Economics.



Tom Griffiths s an Associate Professor of Psychology and Cognitive Science and Director of the Institute of Cognitive and Brain Sciences at the University of California, Berkeley. He has published over 150 scientific papers on a wide range of topics, including machine learning and cultural evolution in addition to cognitive psychology, and he has received numerous early career awards, including those from the National Science Foundation, the Sloan Foundation, and the American Psychological Association.