Algorithms to live by: the computer science of human decisions
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Published:
New York : Picador :, 2017.
Format:
Book
Edition:
First Picador edition.
Physical Desc:
xii, 351 pages : illustrations ; 24 cm
Status:

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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Location
Call Number
Status
New London Adult Non Fiction
158.43 CHR
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More Details

Language:
English
ISBN:
1250118360, 9781250118363

Notes

Bibliography
Includes bibliographical references (pages [315]-334) and index
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

APA Citation (style guide)

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.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.

Staff View

Grouped Work ID:
2e069cd9-bfd4-3408-1ff7-c87480b2127d
Go To Grouped Work

Record Information

Last Sierra Extract TimeJul 08, 2025 12:40:47 AM
Last File Modification TimeJul 08, 2025 12:41:22 AM
Last Grouped Work Modification TimeJul 12, 2025 05:19:37 AM

MARC Record

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0504 |a BF39 |b .C4885 2017
1001 |a Christian, Brian, |d 1984- |e author. |0 http://id.loc.gov/authorities/names/no2008163052
24510 |a Algorithms to live by : |b the computer science of human decisions / |c Brian Christian and Tom Griffiths.
250 |a First Picador edition.
2641 |a New York : |b Picador : |b Henry Holt and Company, |c 2017.
2644 |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
5050 |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
6500 |a Human behavior |x Mathematical models. |0 http://id.loc.gov/authorities/subjects/sh85062841
6500 |a Problem solving |x Mathematics.
6500 |a Computer simulation. |0 http://id.loc.gov/authorities/subjects/sh85029533
6500 |a Computer algorithms. |0 http://id.loc.gov/authorities/subjects/sh91000149
7001 |a Griffiths, Tom, |d 1978- |0 http://id.loc.gov/authorities/names/n2015056735
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