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03461aam a22005058i 4500 001 CDAB2ADE128D11E6BE932B7BDAD10320 003 SILO 005 20160505015040 008 150827s2016 nyu b 001 0 eng 010 $a 2015032177 020 $a 1627790365 020 $a 9781627790369 040 $d SILO 042 $a pcc 050 00 $a BF39 $b .C4885 2016 082 00 $a 153.4/3 $2 23 082 04 $a 303.4834 $2 23 100 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. 264 1 $a New York : $b Henry Holt and Company, $c [2016] 300 $a x, 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 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.--From dust jacket. 650 0 $a Human behavior $x Mathematical models. 650 0 $a Problem solving $x Mathematics. 650 0 $a Computer simulation. 650 0 $a Computer algorithms. 700 1 $a Griffiths, Tom, $d 1978- 941 $a 14 952 $l ALPE516 $d 20240417013906.0 952 $l USUX851 $d 20240305043253.0 952 $l CJPC482 $d 20240202013921.0 952 $l FXPH314 $d 20220909040436.0 952 $l YEPF572 $d 20200204082921.0 952 $l TYPH572 $d 20200110064828.0 952 $l OVUX522 $d 20191214015300.0 952 $l BOPG851 $d 20181006103458.0 952 $l CYPF706 $d 20170616010246.0 952 $l GDPF771 $d 20170418114827.0 952 $l UQAX771 $d 20170302014654.0 952 $l BAPH771 $d 20160706012759.0 952 $l TDPH826 $d 20160628011639.0 952 $l CAPH522 $d 20160505021625.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=CDAB2ADE128D11E6BE932B7BDAD10320Initiate Another SILO Locator Search