书籍 Algorithms to Live By的封面

Algorithms to Live By

Brian Christian

出版时间

2016-04-18

ISBN

9781627790369

评分

★★★★★

标签

算法

书籍介绍

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.

目录
Introduction 1
Algorithms to Live By
1 Optimal Stopping 9
When to Stop Looking
2 Explore/Exploit 31

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用户评论
上当了,骗子东抄西凑攒的垃圾,怀疑丫用搜索引擎写的,看作者努力过,两星够了。
看之前就比较担心是不是太trivial都是已经知道的东西,结果不幸料中。不过也好,打消了我写类似书的想法
《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。
最理性的做决定方式是:先收集一个不大不小的样本,对所处的世界有一个相对充分的了解,再做出选择。反过来说,如果遇到正在采样期的人,你做得再好,最多就是给别人提供一个数据点,基本没有用
跟着小组分享重读了一遍
1)寻找的时间占整个流程计划时间的37%为最佳解 (买房子,找伴侣等等)2)具体来讲,是在前37%积累何为best的信息,然后在下一阶段直接选择outshine 前37%中best candidate的candidate,这样有大约37%概率选到最好的candidate 3)不可视一个决定仅为单一决定,决定前后是有连续有结构的,需要在一个大结构里考虑一个决定 4)人越老社交圈越小,因生命残余时间不同而产生的偏好不同。5)因为sorting,规模越大有可能unit cost越高 6)复杂程度越高,越多想越容易overfit
easy read for people with computer science background. but it has very practical meaning beyond computer science.
从生活见算法的有用之处。生活化的例子很方便理解,甚至有实际立刻应用的价值。文笔也不错。
有意思的,遇到问题和困惑先想想怎么用算法解决,更重要是一个思维的转换~ 新知道一个“37%规则”,应用范围很广哦
俺数学不好