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.
全书是算法入门,从生活中的各种问题说起:租房、谈恋爱、老虎机、拍电影、面试、买彩票、各种排序、找停车位、寻找新药、临床试验、奥巴马拉赞助、预估电影票房,讲数学家对这些问题的解决办法(也就是算法),一般从算法的由来开始说起,到现在的实际应用情况,还有各种变化...
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 評分很久以前就知道这本书了,不过看着"算法"两字实在没兴趣。直到某天翻Google Talks, 发现作者的讲座很受欢迎,看了看才发现确实很有意思 放在国内的语境下,这本书叫"心智模型",或model thinker可能好一点 介绍里写 "A fascinating exploration of how insights from computer ...
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."
评分"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...)
评分"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...)
评分一個還可以的水平,並不引人入勝,讀著讀著就容易走神,理解自己為什麼拖瞭一年纔看完。這類獲取信息的書看中文翻譯版速速讀完即可。有些章節可能會有啓發,但不跟著這個啓發去做深入閱讀也就隻能停留在”啊哈“
评分看之前就比較擔心是不是太trivial都是已經知道的東西,結果不幸料中。不過也好,打消瞭我寫類似書的想法
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