Algorithms to live by: the computer science of human decisions
(Book)
Description
"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
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Citations
Christian, B., & Griffiths, T. (2017). Algorithms to live by: the computer science of human decisions. First Picador edition. Picador.
Chicago / Turabian - Author Date Citation (style guide)Christian, Brian, 1984- and Tom Griffiths. 2017. Algorithms to Live By: The Computer Science of Human Decisions. Picador.
Chicago / Turabian - Humanities Citation (style guide)Christian, Brian, 1984- and Tom Griffiths, Algorithms to Live By: The Computer Science of Human Decisions. Picador, 2017.
MLA Citation (style guide)Christian, Brian and Tom Griffiths. Algorithms to Live By: The Computer Science of Human Decisions. First Picador edition. Picador, 2017.
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Record Information
Last Sierra Extract Time | Jul 08, 2025 12:40:47 AM |
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Last File Modification Time | Jul 08, 2025 12:41:22 AM |
Last Grouped Work Modification Time | Jul 12, 2025 05:19:37 AM |
MARC Record
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001 | ocm945483134 | ||
003 | OCoLC | ||
005 | 20250210224633.0 | ||
008 | 160323s2017 nyu 001 0 eng d | ||
020 | |a 1250118360 | ||
020 | |a 9781250118363 | ||
035 | |a (OCoLC)945483134 | ||
040 | |a YDXCP |b eng |e rda |c YDXCP |d BTCTA |d BDX |d OCLCQ |d GK8 |d GRU |d IVU |d SZR |d GRU |d LLX | ||
050 | 4 | |a BF39 |b .C4885 2017 | |
100 | 1 | |a Christian, Brian, |d 1984- |e author. |0 http://id.loc.gov/authorities/names/no2008163052 | |
245 | 1 | 0 | |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 : |b Henry Holt and Company, |c 2017. | |
264 | 4 | |c ©2016 | |
300 | |a xii, 351 pages : |b illustrations ; |c 24 cm | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a unmediated |b n |2 rdamedia | ||
338 | |a volume |b nc |2 rdacarrier | ||
504 | |a Includes bibliographical references (pages [315]-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. |0 http://id.loc.gov/authorities/subjects/sh85062841 | |
650 | 0 | |a Problem solving |x Mathematics. | |
650 | 0 | |a Computer simulation. |0 http://id.loc.gov/authorities/subjects/sh85029533 | |
650 | 0 | |a Computer algorithms. |0 http://id.loc.gov/authorities/subjects/sh91000149 | |
700 | 1 | |a Griffiths, Tom, |d 1978- |0 http://id.loc.gov/authorities/names/n2015056735 | |
907 | |a .b25700522 | ||
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998 | |e - |d a |f eng |a nl |