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.
##有幸参与到吴晓波书友会打卡读书的团队中和小伙伴们一起读书,历时17天终于完完整整的读完《算法之美》这本很赞的书,没有间断,大部分是利用在往返北京的城际和地铁上的时间,感觉很好:开卷有益为一好,利用时间为二好,习惯坚持为三好! 《算法之美》这本书颠覆了我对很多算...
评分##算法入门,不错的科普书和科学自救手册
评分 评分 评分##数学家教做人
评分##《指导生活的算法》 生活中的很多复杂决策,看上去没有规律可循,实际上是可以用算法来解决的。e.g.找对象用到的37%法则 很多时候我们会沉迷在细节里,看不清大方向,其实是犯了数学上的过度拟合错误。 时间问题本质上是个数学问题,用数学家的办法管理时间,才能活得更有效率。
评分##我们在生活中讲道理经常会引用一些谚语和鸡汤,可是这些东西如果放在一起看,常有互相矛盾的地方。比如逻辑学家金岳霖,很早就注意到“金钱如粪土”和“朋友值千金”这两句话不可能都是对的,否则就等于说“朋友如粪土”。 [Algorithms to Live By] 想要避免价值观紊乱,我们需...
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