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Algorithms to Live by: The Computer Science of Human Decisions Library Edition
Contributor(s): Christian, Brian (Author), Griffiths, Tom (Author), Christian, Brian (Read by)

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ISBN: 1480560375     ISBN-13: 9781480560376
Publisher: Brilliance Audio
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Binding Type: Compact Disc - See All Available Formats & Editions
Published: April 2016
* Out of Print *
Additional Information
BISAC Categories:
- Science | Cognitive Science
- Psychology | Cognitive Psychology & Cognition
- Computers | Computer Science
Dewey: 153.43
Physical Information: 1.1" H x 5.5" W x 6.5" L (0.60 lbs)
Features: Price on Product, Unabridged
Review Citations: Library Journal 06/15/2016 pg. 43
 
Descriptions, Reviews, Etc.
Publisher Description:

A fascinating exploration of how 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 problems for decades. And the solutions they've found have much to teach us.

In a dazzlingly interdisciplinary work, acclaimed author Brian Christian (who holds degrees in computer science, philosophy, and poetry, and works at the intersection of all three) and Tom Griffiths (a UC Berkeley professor of cognitive science and psychology) show how the simple, precise 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 human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.


Contributor Bio(s): Griffiths, Tom: -

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.

Christian, Brian: -

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.


 
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