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.
##Have you updated your OS today yet? #wethebots
评分##其实到不了 live by 的程度,但是我仍然觉得这本书用对了倍镜。它离生活智慧和书本算法都足够远,站在了中间点。你当然不能得到什么中彩票的秘诀,也没看到常青藤级别的计算机课程。虽然目录看上去越来越像教科书,但读者能得到的是一种生活观:生活并不凡庸,寻常琐事皆有解。“But this doesn’t mean that bad equilibria can’t be fixed. It just means that the solution is going to have to come from somewhere else.” 在坐地抱怨哭闹前,先持续得找解方案,一直找下去也比就此认定一切都是鸡毛和傻逼然后走上如何精致得撒谎撕逼再装作毫不在乎强。
评分##听NPR的采访知道的这本书,印象是如何用算法帮助你找对象和收拾家。真读了以后感觉那些生活小窍门都是表层,这书的本质是用CS的角度去思考,从解决计算问题延伸到哲学。感触最深的是贝叶斯那章,人们都对prior有很好的直觉,但是这个直觉不停的在被追求吸引眼球的新闻扭曲。尤其现在这个一开电脑一摸手机,简直是一个人一个泡泡的世界里,protect your prior太艰辛了
评分##数学家教做人
评分##强烈推荐给非CS从业者:先以非常直观的方式介绍算法,然后提升到哲学高度和你谈人生。。。对于从业者来说也应该是不错的消遣读物
评分##指导生活的算法。恋爱的年龄与犹豫比例决策。时间保守与开放的选择。
评分##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
评分##听NPR的采访知道的这本书,印象是如何用算法帮助你找对象和收拾家。真读了以后感觉那些生活小窍门都是表层,这书的本质是用CS的角度去思考,从解决计算问题延伸到哲学。感触最深的是贝叶斯那章,人们都对prior有很好的直觉,但是这个直觉不停的在被追求吸引眼球的新闻扭曲。尤其现在这个一开电脑一摸手机,简直是一个人一个泡泡的世界里,protect your prior太艰辛了
评分##听NPR的采访知道的这本书,印象是如何用算法帮助你找对象和收拾家。真读了以后感觉那些生活小窍门都是表层,这书的本质是用CS的角度去思考,从解决计算问题延伸到哲学。感触最深的是贝叶斯那章,人们都对prior有很好的直觉,但是这个直觉不停的在被追求吸引眼球的新闻扭曲。尤其现在这个一开电脑一摸手机,简直是一个人一个泡泡的世界里,protect your prior太艰辛了
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