Página InicialGruposDiscussãoMaisZeitgeist
Pesquisar O Sítio Web
Este sítio web usa «cookies» para fornecer os seus serviços, para melhorar o desempenho, para analítica e (se não estiver autenticado) para publicidade. Ao usar o LibraryThing está a reconhecer que leu e compreende os nossos Termos de Serviço e Política de Privacidade. A sua utilização deste sítio e serviços está sujeita a essas políticas e termos.

Resultados dos Livros Google

Carregue numa fotografia para ir para os Livros Google.

Algorithms to Live By: The Computer Science…
A carregar...

Algorithms to Live By: The Computer Science of Human Decisions (original 2017; edição 2016)

por Brian Christian (Autor), Tom Griffiths (Autor)

MembrosCríticasPopularidadeAvaliação médiaMenções
1,4314512,894 (4)12
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.… (mais)
Membro:wanack
Título:Algorithms to Live By: The Computer Science of Human Decisions
Autores:Brian Christian (Autor)
Outros autores:Tom Griffiths (Autor)
Informação:Henry Holt and Co. (2016), 368 pages
Coleções:A sua biblioteca
Avaliação:****
Etiquetas:science/tech, computer science, complexity, neuroscience

Informação Sobre a Obra

Algorithms to Live By: The Computer Science of Human Decisions por Brian Christian (2017)

A carregar...

Adira ao LibraryThing para descobrir se irá gostar deste livro.

Ainda não há conversas na Discussão sobre este livro.

» Ver também 12 menções

Mostrando 1-5 de 49 (seguinte | mostrar todos)
I enjoyed the book. The author brings a fresh perspective to computer algorithms, how they apply to real-life situations, and how they can be used to solve everyday challenges.
If you are not well-versed in programming topics it might be a bit hard to understand some points that the author makes but I think it would still be a nice read. ( )
  AsimGasimzade | Apr 4, 2024 |
An interesting idea for a book that almost works, to identify knowledge from the domain of computer science that can translate to everyday life.

There are at least a few ideas that are not so well known and provide interesting insight. But there are as many that are relatively well known and not as practical to apply. ( )
  yates9 | Feb 28, 2024 |
NF
  vorefamily | Feb 22, 2024 |
Excellent book, provides a lot of insight into various interesting problems. Must go back for a second reading.... ( )
  rendier | Jan 25, 2024 |
An interesting book about thinking about things from a different perspective and being more optimal. Some sections felt very bloated. 3.25/5 ( )
  gianouts | Jul 5, 2023 |
Mostrando 1-5 de 49 (seguinte | mostrar todos)
sem críticas | adicionar uma crítica

» Adicionar outros autores

Nome do autorPapelTipo de autorObra?Estado
Brian Christianautor principaltodas as ediçõescalculado
Griffiths, Tomautor principaltodas as ediçõesconfirmado
Tem de autenticar-se para poder editar dados do Conhecimento Comum.
Para mais ajuda veja a página de ajuda do Conhecimento Comum.
Título canónico
Título original
Títulos alternativos
Data da publicação original
Pessoas/Personagens
Locais importantes
Acontecimentos importantes
Filmes relacionados
Epígrafe
Dedicatória
Primeiras palavras
Citações
Últimas palavras
Nota de desambiguação
Editores da Editora
Autores de citações elogiosas (normalmente na contracapa do livro)
Língua original
DDC/MDS canónico
LCC Canónico

Referências a esta obra em recursos externos.

Wikipédia em inglês

Nenhum(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.

Não foram encontradas descrições de bibliotecas.

Descrição do livro
Resumo Haiku

LibraryThing Early Reviewers Alum

Brian Christian's book Algorithms to Live By was available from LibraryThing Early Reviewers.

Current Discussions

Nenhum(a)

Capas populares

Ligações Rápidas

Avaliação

Média: (4)
0.5
1
1.5
2 9
2.5 4
3 33
3.5 12
4 102
4.5 7
5 59

É você?

Torne-se num Autor LibraryThing.

 

Acerca | Contacto | LibraryThing.com | Privacidade/Termos | Ajuda/Perguntas Frequentes | Blogue | Loja | APIs | TinyCat | Bibliotecas Legadas | Primeiros Críticos | Conhecimento Comum | 204,712,741 livros! | Barra de topo: Sempre visível