具體描述
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.
用戶評價
##《指導生活的算法》 生活中的很多復雜決策，看上去沒有規律可循，實際上是可以用算法來解決的。e.g.找對象用到的37%法則 很多時候我們會沉迷在細節裏，看不清大方嚮，其實是犯瞭數學上的過度擬閤錯誤。 時間問題本質上是個數學問題，用數學傢的辦法管理時間，纔能活得更有效率。
評分##"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"，確實如此，希望我本科時就讀過 (不過16年纔齣來呀...)
評分##作者將計算機的算法運用在生活中例子。其中第1，2章寫的真好。Optimal stopping提到的37%rule，Explore/Exploit寫齣瞭人永遠在有限時間有限信息做最好選擇的現實，短期利益和長期投資的mixed strategy。其他幾章內容平時也接觸到瞭，但還是有部分內容有趣，如，信息終端無處不在的sorting推薦，overfitting大數據不如人的知覺，Erlang分布還是第一次聽到，路由器的Bufferbloat猶如現實的交通堵塞，總之算法能寫成這樣有趣還是不錯的。
評分##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...
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