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02677aam a2200337 i 4500 001 1474FAF4EAB411EB95DB475F3FECA4DB 003 SILO 005 20210722010305 008 170628r20172016nyua b 001 0 eng d 010 $a bl2017027554 020 $a 1250118360 020 $a 9781250118363 040 $a NjBwBT $b eng $e rda $c NjBwBT $d SKYRV $d SILO 100 1 $a Christian, Brian, $d 1984- $e author. 245 10 $a Algorithms to live by : $b the computer science of human decisions / $c Brian Christian and Tom Griffiths. 250 $a First Picador edition. 264 1 $a New York : $b Picador : $c 2017. 300 $a xii, 351 pages : $b illustrations ; $c 24 cm. 504 $a Includes bibliographical references (pages 263-334) and index. 505 0 $a 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. 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 $a Human behavior $x Mathematical models. 650 0 $a Problem solving $x Mathematics. 650 0 $a Computer simulation. 650 0 $a Comptuter algorithms. 700 1 $a Griffiths, Tom, $d 1978- $e author. 775 08 $i Reproduction of (manifestation): 775 08 $a Christian, Brian, 1984- $t Algorithms to live by $d New York : Henry Holt and Company, 2016 $w (DLC) 2015032177. 941 $a 1 952 $l GEPG771 $d 20210722060051.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=1474FAF4EAB411EB95DB475F3FECA4DBInitiate Another SILO Locator Search