The Resource Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths
Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths
Resource Information
The item Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Austin Public Library.This item is available to borrow from 2 library branches. This resource has been enriched with EBSCO NoveList data.
Resource Information
The item Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Austin Public Library.
This item is available to borrow from 2 library branches.
This resource has been enriched with EBSCO NoveList data.
- Summary
- 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
- Language
- eng
- Extent
- x, 351 pages
- Contents
-
- 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
- Isbn
- 9781627790369
- Label
- Algorithms to live by : the computer science of human decisions
- Title
- Algorithms to live by
- Title remainder
- the computer science of human decisions
- Statement of responsibility
- Brian Christian and Tom Griffiths
- Language
- eng
- Summary
- 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
- http://library.link/vocab/ext/novelist/bookUI
- 10481688
- Cataloging source
- DLC
- http://library.link/vocab/creatorDate
- 1984-
- http://library.link/vocab/creatorName
- Christian, Brian
- Dewey number
- 153.4/3
- Index
- index present
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1978-
- http://library.link/vocab/relatedWorkOrContributorName
- Griffiths, Tom
- http://library.link/vocab/resourcePreferred
- True
- http://library.link/vocab/subjectName
-
- Human behavior
- Problem solving
- Computer simulation
- Computer algorithms
- http://bibfra.me/vocab/lite/titleRemainder
- the computer science of human decisions
- Label
- Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths
- Bibliography note
- Includes bibliographical references (pages 263-334) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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
- Control code
- ocn908628787
- Dimensions
- 24 cm
- Extent
- x, 351 pages
- Isbn
- 9781627790369
- Lccn
- 2015032177
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
- (OCoLC)908628787
- Label
- Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths
- Bibliography note
- Includes bibliographical references (pages 263-334) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- 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
- Control code
- ocn908628787
- Dimensions
- 24 cm
- Extent
- x, 351 pages
- Isbn
- 9781627790369
- Lccn
- 2015032177
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
- (OCoLC)908628787
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.austintexas.gov/portal/Algorithms-to-live-by--the-computer-science-of/frnOA1RhGT8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.austintexas.gov/portal/Algorithms-to-live-by--the-computer-science-of/frnOA1RhGT8/">Algorithms to live by : the computer science of human decisions, Brian Christian and Tom Griffiths</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.austintexas.gov/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.austintexas.gov/">Austin Public Library</a></span></span></span></span></div>
