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.
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.
秘书问题”:想象你在面试一秘书,你希望能在应聘者里找到最好的人,但你并不知道怎样的人会来应聘,所以你一个个人轮流面试。你可以随时发offer,但你如果在面试后没有马上给对方offer,他就从此离开去其他地方工作了。你怎么才能知道眼前这个应聘者是最好的呢? 万能的计算机...
評分秘书问题”:想象你在面试一秘书,你希望能在应聘者里找到最好的人,但你并不知道怎样的人会来应聘,所以你一个个人轮流面试。你可以随时发offer,但你如果在面试后没有马上给对方offer,他就从此离开去其他地方工作了。你怎么才能知道眼前这个应聘者是最好的呢? 万能的计算机...
評分画说那些被豆瓣低估了的好书之Algorithms to Live By - 算法优化生活 一本在豆瓣被严重低估的小书,Algorithms to Live By ,中文译名“算法之美”,如何用计算机算法优化生活。虽然书名看起来很深奥,实际上可读性很强,也不需要任何算法基础——应该说,反而更加适合对计算机...
評分持续21天的《算法之美》同读打卡结束:现贴出本书的摘抄和感悟,希望对其他读者有所帮助。 2018.10.08《算法之美》第一章 1. 今日关键词:给定量。几乎不会随着时代的变迁而发生改变的事情,在代数学上,被称为给定量。例如符合自然规律,很难被改变的现象。 2. 无信息博弈。我...
評分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...
白話版的計算機算法課程
评分Have you updated your OS today yet? #wethebots
评分37% | 關鍵在於時間,假設你還打算住很久,那就應該去積極探索新事物,冒點險是值得的 | 避免過度擬閤 1限定思考時間。比如一天小時之內必須完成報告。2限定內容長度。比如 “電梯談話” 。3在白闆上討論商業計劃,要使用粗的馬剋筆,筆畫越粗,對你的思維越有利,越能逼著你去考慮大局
评分37% | 關鍵在於時間,假設你還打算住很久,那就應該去積極探索新事物,冒點險是值得的 | 避免過度擬閤 1限定思考時間。比如一天小時之內必須完成報告。2限定內容長度。比如 “電梯談話” 。3在白闆上討論商業計劃,要使用粗的馬剋筆,筆畫越粗,對你的思維越有利,越能逼著你去考慮大局
评分關於算法的理性與感性,比如博弈論結尾這段兒:"The road to hell is paved with intractable recursions, bad equilibria, and information cascades, seek out games where honesty is the dominant strategy, then just be yourself."
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