Algorithms to Live By by Brian Christian audiobook

Algorithms to Live By: The Computer Science of Human Decisions

By Brian Christian and Tom Griffiths
Read by Brian Christian

Brilliance Audio
11.82 Hours Unabridged
Format: Digital Download (In Stock)
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    ISBN: 9781480560352

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    ISBN: 9781480560406

What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they’ve found have much to teach us. In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers 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 peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

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Summary

Summary

A 2016 GoodReads Readers’ Choice Best Science & Technology Book Award Nominee

What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they’ve found have much to teach us.

In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers 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 peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Editorial Reviews

Editorial Reviews

“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, New York Times bestselling author
“A solid, research-based book that’s applicable to real life…It’s well worth the time to find a copy of Algorithms to Live By and dig deeper.” Forbes
“By the end of the book, I was convinced…because computing algorithms could be a surprisingly useful way to embrace the messy compromises of real, non-Vulcan life.” Guardian (London)
“An entertaining, intelligently presented book…Craftily programmed to build from one good idea to the next…[for] not just better problem solving but also greater insight into the human mind.” Kirkus Reviews
“I absolutely reveled in this book… It’s the perfect antidote to the argument you often hear from young math students: ‘What’s the point? I’ll never use this in real life!’…Both potentially practical and highly enjoyable as presented here. Recommended.” Popular Science (UK)

Reviews

Reviews

Author

Author Bio: Brian Christian

Author Bio: Brian Christian

Brian Christian is the author of The Most Human Human: What Artificial Intelligence Teaches Us about Being Alive, which was a Wall Street Journal bestseller and a New Yorker Favorite Book of the Year.

Titles by Author

Author Bio: Tom Griffiths

Author Bio: Tom Griffiths

Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has received widespread recognition for his scientific work, including awards from the American Psychological Association and the Sloan Foundation.

Titles by Author

Details

Details

Available Formats : Digital Download, CD
Category: Nonfiction/Science
Runtime: 11.82
Audience: Adult
Language: English