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.
##指導生活的算法。戀愛的年齡與猶豫比例決策。時間保守與開放的選擇。 全書是算法入門,從生活中的各種問題說起:租房、談戀愛、老虎機、拍電影、麵試、買彩票、各種排序、找停車位、尋找新藥、臨床試驗、奧巴馬拉贊助、預估電影票房,講數學傢對這些問題的解決辦法(也就是算法),一般從算法的由來開始說起,到現在的實際應用情況,還有各種變化...
評分 評分##有幸參與到吳曉波書友會打卡讀書的團隊中和小夥伴們一起讀書,曆時17天終於完完整整的讀完《算法之美》這本很贊的書,沒有間斷,大部分是利用在往返北京的城際和地鐵上的時間,感覺很好:開捲有益為一好,利用時間為二好,習慣堅持為三好! 《算法之美》這本書顛覆瞭我對很多算...
評分 評分##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."
評分##秘書問題”:想象你在麵試一秘書,你希望能在應聘者裏找到最好的人,但你並不知道怎樣的人會來應聘,所以你一個個人輪流麵試。你可以隨時發offer,但你如果在麵試後沒有馬上給對方offer,他就從此離開去其他地方工作瞭。你怎麼纔能知道眼前這個應聘者是最好的呢? 萬能的計算機...
評分 評分在Amazon的實體店看到這本書,男朋友說他那位飽讀詩書的室友也覺得不錯,這纔打算投入時間讀一讀。 開頭驚艷,apartment hunting,這麼個艱難糾結的過程居然能給齣一個精確的數字來解決?沒錯,用37%的時間/精力/candidates來建立你的baseline,之後再用這個baseline來判斷剩...
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