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Algorithms to Live By: The Computer Science of Human Decisions Paperback – 26 April 2017
| Brian Christian (Author) Find all the books, read about the author, and more. See search results for this author |
| Tom Griffiths (Author) Find all the books, read about the author, and more. See search results for this author |
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Enhance your purchase
- Print length368 pages
- LanguageEnglish
- PublisherWilliam Collins
- Publication date26 April 2017
- Dimensions12.9 x 2.3 x 19.8 cm
- ISBN-109780007547999
- ISBN-13978-0007547999
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Product description
About the Author
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 is 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.
Product details
- ASIN : 0007547994
- Publisher : William Collins (26 April 2017)
- Language : English
- Paperback : 368 pages
- ISBN-10 : 9780007547999
- ISBN-13 : 978-0007547999
- Item Weight : 260 g
- Dimensions : 12.9 x 2.3 x 19.8 cm
- Country of Origin : United Kingdom
- Best Sellers Rank: #1,980 in Books (See Top 100 in Books)
- #2 in Algorithms
- #3 in Computer Science Books
- #8 in Mathematics (Books)
- Customer Reviews:
About the authors

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

Brian Christian is the author of the acclaimed bestsellers "The Most Human Human," a New York Times editors’ choice and a New Yorker favorite book of the year, and "Algorithms to Live By" (with Tom Griffiths), a #1 Audible bestseller, Amazon best science book of the year and MIT Technology Review best book of the year.
Christian’s writing has appeared in The New Yorker, The Atlantic, Wired, and The Wall Street Journal, as well as peer-reviewed journals such as Cognitive Science. He has been featured on The Daily Show and Radiolab, and has lectured at Google, Facebook, Microsoft, the Santa Fe Institute, and the London School of Economics. His work has won several awards, including publication in Best American Science & Nature Writing, and has been translated into nineteen languages.
Christian holds degrees in computer science, philosophy, and poetry from Brown University and the University of Washington. A Visiting Scholar at the University of California, Berkeley, he lives in San Francisco.
Customer reviews
Reviewed in India on 31 July 2021
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Paper quality is okayish.
Print quality is fine.
By Arush Bartaria on 31 July 2021
Paper quality is okayish.
Print quality is fine.
Top reviews from other countries
You are then given guidance to develop strategies for living in happiness by using a more LOGICAL approach to spot danger and take positive action to prevent jeopardy by considering if what you are doing is meaningful and worthwhile and brings LONG-TERM happiness.
This ‘ME TOO’ book is not for everyone because it asks you to examine and challenge traditional ‘taboos’ and what is euphemistically known as ‘conventional wisdom’ – and then having the COURAGE to take the required actions to set your life in order and gain your liberty and FREEDOM.
Five stars
It covers approaches to searching, and when to stop looking for improvements over what you already have. It discuses sorting, and tradeoffs between time spent keeping things in order, and time spent finding them later. It covers scheduling, and how the best order to do things in depends very much on what you are trying to optimise. It finishes with game theory, explaining why some situations lead to poor outcomes for all, and how understanding this can help you know how to change the situation to get better outcomes. And it does all this, and more, with a light touch that makes it very readable.












