TOM GRIFFITHS Algorithms to Live by

ISBN 13: 9780007547999

Algorithms to Live by

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9780007547999: Algorithms to Live by

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 and cognitive scientist Tom Griffiths 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.

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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.

Review:

“An entertaining, intelligently presented book.”—Kirkus Reviews

“Practical, everyday advice which will easily provoke an interest in computer science.”—ValueWalk

“All of this information is presented in an interesting, humorous, and thought-provoking way, including quotes that really make you contemplate the meaning of ‘life, the universe, and everything.’”—EE Times

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Book Description HarperCollins Publishers, United Kingdom, 2017. Paperback. Book Condition: New. 198 x 129 mm. Language: English . Brand New Book. A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, Algorithms To Live By helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place? How much messiness should you accept? What balance of new activities and familiar favourites is the most fulfilling? When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. And the solutions they ve found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory.Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living. Bookseller Inventory # AA89780007547999

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Book Description HarperCollins Publishers, United Kingdom, 2017. Paperback. Book Condition: New. 198 x 129 mm. Language: English . Brand New Book. A fascinating exploration of how computer algorithms can be applied to our everyday lives. What should we do, or leave undone, in a day or a lifetime? Exploring how insights from computer algorithms can be applied to our everyday lives, Algorithms To Live By helps to solve common decision-making problems and illuminate the workings of the human mind. When should you switch between different tasks, and how many tasks should you take on in the first place? How much messiness should you accept? What balance of new activities and familiar favourites is the most fulfilling? When computers face constraints of time and space, they too must untangle very human questions: how to have better hunches, when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. And the solutions they ve found have much to teach us. Acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms developed for computers can be applied from finding your spouse to finding a parking spot, from organizing your inbox to understanding the workings of memory.Where you have a dilemma, they have a rule, and each fascinating algorithm turns the wisdom of computer science into strategies for human living. Bookseller Inventory # AA89780007547999

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Book Description William Collins. Book Condition: New. A fascinating exploration of how computer algorithms can be applied to our everyday lives. Num Pages: 368 pages. BIC Classification: JMR; UY; VSP. Category: (G) General (US: Trade). Dimension: 197 x 130. Weight in Grams: 340. . 2017. Paperback. . . . . Books ship from the US and Ireland. Bookseller Inventory # V9780007547999

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Book Description William Collins, 2017. Book Condition: New. A fascinating exploration of how computer algorithms can be applied to our everyday lives. Num Pages: 368 pages. BIC Classification: JMR; UY; VSP. Category: (G) General (US: Trade). Dimension: 197 x 130. Weight in Grams: 340. . 2017. Paperback. . . . . . Bookseller Inventory # V9780007547999

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