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.
1.从37%法则说起 苏格拉底带领几个弟子来到一块麦地边。他对弟子们说:“你们去麦地里摘一个最大的麦穗,只许前行不能回头,我在麦地的尽头等你们。” 《最大的麦穗》其实就是数学界的“最优停止问题”,要取得最理想的结果,显然需要在两者之间找到最合适的平衡点,在甄选时既...
评分生活中其实处处有数学,能帮助我们进行思考。真实模型过于复杂,简化后的数学模型能找到最优解,但与现实相差甚远,不过也能为选择做出参考。 看完这本书,直接想到非诚勿扰选择红蓝区女生的情况。按照书中的数学模型,也可以优化。红蓝区各12个,可以先把前面4个放到蓝区,作...
评分 评分 评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...
《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。
评分白话版的计算机算法课程
评分观点大多数是已经知道了的,大概作为科学从事者,看这种科普书就是这点无趣。在想白熊是不是计算到26岁该leap,才跟我求婚的orz
评分观点大多数是已经知道了的,大概作为科学从事者,看这种科普书就是这点无趣。在想白熊是不是计算到26岁该leap,才跟我求婚的orz
评分一个还可以的水平,并不引人入胜,读着读着就容易走神,理解自己为什么拖了一年才看完。这类获取信息的书看中文翻译版速速读完即可。有些章节可能会有启发,但不跟着这个启发去做深入阅读也就只能停留在”啊哈“
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