Algorithms to live by : the computer science of human decisions /

"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 particula...

Descripción completa

Detalles Bibliográficos
Autor principal: Christian, Brian, 1984- (Autor)
Otros Autores: Griffiths, Tom, 1978-
Formato: Libro
Lenguaje:Inglés
Publicado: New York : Henry Holt and Company, 2021, c2016.
Materias:
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 03544nam a2200469 a 4500
001 991041173804151
005 20250410121134.0
008 250410t20212016nyu b 001 0 eng
020 |a 9781627790369  |q (hardcover) 
020 |a 1627790365  |q (hardcover) 
020 |a 9781250118363  |q (paperback) 
020 |a 1250118360  |q (paperback) 
020 |z 9781627790376  |q (electronic book) 
020 |z 9781627798983 
020 |a 1627798986 
020 |a 9781627798983 
035 |a (OCoLC)1514460447 
035 |a (OCoLC)on1514460447 
040 |a U@S  |b spa  |c U@S 
049 |a U@SA 
050 0 0 |a BF39  |b .C47 2021 
100 1 |a Christian, Brian,  |d 1984-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJrrwfrFjRwK7FhWt7WqwC 
245 1 0 |a Algorithms to live by :  |b the computer science of human decisions /  |c Brian Christian and Tom Griffiths. 
246 3 0 |a Computer science of human decisions. 
260 |a New York :  |b Henry Holt and Company,  |c 2021, c2016. 
300 |a xii, 351 p. ;  |c 23 cm. 
504 |a Incluye referencias bibliográficas e índice. 
505 0 |a Introduction -- 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."--Descripción del editor. 
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. 
650 0 |a Digital computer simulation. 
650 0 |a Algorithms. 
650 7 |a Conducta (Psicología)  |x Modelos matemáticos.  |2 UDESA 
650 7 |a Solución de problemas  |x (Matemáticas).  |2 UDESA 
650 7 |a Simulación computacional.  |2 UDESA 
650 7 |a Algoritmos computacionales.  |2 UDESA 
650 7 |a Simulación con computadoras digitales.  |2 UDESA 
650 7 |a Algoritmos.  |2 UDESA 
700 1 |a Griffiths, Tom,  |d 1978-  |1 https://id.oclc.org/worldcat/entity/E39PCjxthJHxr68qt4VffbGDmb