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.
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 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 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.
##其实到不了 live by 的程度,但是我仍然觉得这本书用对了倍镜。它离生活智慧和书本算法都足够远,站在了中间点。你当然不能得到什么中彩票的秘诀,也没看到常青藤级别的计算机课程。虽然目录看上去越来越像教科书,但读者能得到的是一种生活观:生活并不凡庸,寻常琐事皆有解。“But this doesn’t mean that bad equilibria can’t be fixed. It just means that the solution is going to have to come from somewhere else.” 在坐地抱怨哭闹前,先持续得找解方案,一直找下去也比就此认定一切都是鸡毛和傻逼然后走上如何精致得撒谎撕逼再装作毫不在乎强。
评分##跟着小组分享重读了一遍
评分 评分 评分 评分##最理性的做决定方式是:先收集一个不大不小的样本,对所处的世界有一个相对充分的了解,再做出选择。反过来说,如果遇到正在采样期的人,你做得再好,最多就是给别人提供一个数据点,基本没有用
评分##37%規則:以買房為例,目標一年內,前 37% 的時間只看不買,在預算內了解一下市場上哪些房子你喜歡,哪些不喜歡,記住這個階段內你看到過的最滿意的那個,等到過了 37% 這個時間點,一旦遇到比前一階段那個最好的房子好,或者類似的房子,就毫不猶豫地買下來。數學家的時間管理思維:1. 最近截止日期優先 2. 如果最近截止日期優先法還是做不完,優先放棄佔用時間最長的任務 3. 如果牽涉到別人的等待時間,則完成時間短的任務優先 4. 小事與要事的衡量公式,任務密度 = 重要程度 / 完成時間,然後按照任務的密度由高到低的順序去做。
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