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Algorithms to Live By：The Computer Science of Human Decisions

Algorithms to Live By：The Computer Science of Human Decisions

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作者: Brian 著 , Tom Griffiths 著

出版社: Henry Holt and Co.

出版时间: 2016-04

ISBN: 9781627790369

定价: 310.80

装帧: 精装

开本: 其他

纸张: 其他

页数: 368页

正文语种: 英语

分类: 外文古旧书>英文书>自然科学

5人买过

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives， helping to solve common decision-making problems and illuminate the workings of the human mindAll 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 issues 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 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 memory， Algorithms to Live By transforms the wisdom of computer science into strategies for human living. 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.,
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. Alongside Steven Pinker and Daniel Kahneman, he was shortlisted for the Best Book of Ideas prize in the UK.,
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.,
内容简介:
A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives， helping to solve common decision-making problems and illuminate the workings of the human mindAll 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 issues 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 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 memory， Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
作者简介:
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.,
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. Alongside Steven Pinker and Daniel Kahneman, he was shortlisted for the Best Book of Ideas prize in the UK.,
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.,

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英文原版精装 Algorithms to Live By：The Computer Science of Human Decisions 赖以生存的算法：人类决策计算机科学

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