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Algorithms to live by :the computer science of human decisions /
作者 : Christian, Brian,,1984- , Griffiths, Tom,,1978-
出版社 : Picador :
出版年 : 2017
ISBN：1250118360|9781250118363
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書名 ： Algorithms to live by :the computer science of human decisions /
紀錄類型 ： 書目-語言資料,印刷品: 單行本
正題名[資料類型標示]/作者 ： Algorithms to live by :Brian Christian and Tom Griffiths.
其他題名 ： the computer science of human decisions /
其他題名 ： Computer science of human decisions
作者 ： Christian, Brian,
其他作者 ： Griffiths, Tom,
版本項 ： 1st Picador ed.
出版者 ： New York, NY :Picador :2017, c2016
面頁冊數 ： xii, 351 p. :ill. ;24 cm.
內容註 ： Optimal stopping : when to stop looking -- Explore/exploit : the latest vs. the greatest -- Sorting : making order -- Caching : forget about it -- Scheduling : first things first -- Bayes's Rule : predicting the future -- Overfitting : when to think less -- Relaxation : let it slide -- Randomness : when to leave it to chance -- Networking : how we connect -- Game theory : the minds of others -- Conclusion : Computational kindness.
標題 ： Computer algorithms.
ISBN ： 9781250118363 (pbk.) :
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100 1 $aChristian, Brian,$d1984-
245 10$aAlgorithms to live by :$bthe computer science of human decisions /$cBrian Christian and Tom Griffiths.
246 30$aComputer science of human decisions
250 $a1st Picador ed.
260 $aNew York, NY :$bPicador :$c2017, c2016$bHenry Holt and Company,
300 $axii, 351 p. :$bill. ;$c24 cm.
504 $aIncludes bibliographical references (p. [315]-334) and index.
505 0 $aOptimal stopping : when to stop looking -- Explore/exploit : the latest vs. the greatest -- Sorting : making order -- Caching : forget about it -- Scheduling : first things first -- Bayes's Rule : predicting the future -- Overfitting : when to think less -- Relaxation : let it slide -- Randomness : when to leave it to chance -- Networking : how we connect -- Game theory : the minds of others -- Conclusion : Computational kindness.
520 $a"What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they've found have much to teach us. In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how the algorithms developed for computers also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to managing one's time, Algorithms to Live By transforms the wisdom of computer science into strategies for human living."--Back cover.
650 0$aComputer algorithms.
650 0$aComputer simulation.
650 0$aHuman behavior$xMathematical models.
650 0$aProblem solving$xMathematics.
653 $a知識性
653 $a多元學習
700 1 $aGriffiths, Tom,$d1978-