Pagina principaleGruppiConversazioniAltroStatistiche
Cerca nel Sito
Questo sito utilizza i cookies per fornire i nostri servizi, per migliorare le prestazioni, per analisi, e (per gli utenti che accedono senza fare login) per la pubblicità. Usando LibraryThing confermi di aver letto e capito le nostre condizioni di servizio e la politica sulla privacy. Il tuo uso del sito e dei servizi è soggetto a tali politiche e condizioni.

Risultati da Google Ricerca Libri

Fai clic su di un'immagine per andare a Google Ricerca Libri.

Sto caricando le informazioni...

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

di Brian Christian, Tom Griffiths

UtentiRecensioniPopolaritàMedia votiCitazioni
1,4314512,870 (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.… (altro)
Sto caricando le informazioni...

Iscriviti per consentire a LibraryThing di scoprire se ti piacerà questo libro.

Attualmente non vi sono conversazioni su questo libro.

» Vedi le 12 citazioni

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 |
nessuna recensione | aggiungi una recensione

» Aggiungi altri autori

Nome dell'autoreRuoloTipo di autoreOpera?Stato
Brian Christianautore primariotutte le edizionicalcolato
Griffiths, Tomautore principaletutte le edizioniconfermato
Devi effettuare l'accesso per contribuire alle Informazioni generali.
Per maggiori spiegazioni, vedi la pagina di aiuto delle informazioni generali.
Titolo canonico
Titolo originale
Titoli alternativi
Data della prima edizione
Personaggi
Luoghi significativi
Eventi significativi
Film correlati
Epigrafe
Dedica
Incipit
Citazioni
Ultime parole
Nota di disambiguazione
Redattore editoriale
Elogi
Lingua originale
DDC/MDS Canonico
LCC canonico

Risorse esterne che parlano di questo libro

Wikipedia in inglese

Nessuno

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.

Non sono state trovate descrizioni di biblioteche

Descrizione del libro
Riassunto haiku

Già recensito in anteprima su LibraryThing

Il libro di Brian Christian Algorithms to Live By è stato disponibile in LibraryThing Early Reviewers.

Discussioni correnti

Nessuno

Copertine popolari

Link rapidi

Voto

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

Sei tu?

Diventa un autore di LibraryThing.

 

A proposito di | Contatto | LibraryThing.com | Privacy/Condizioni d'uso | Guida/FAQ | Blog | Negozio | APIs | TinyCat | Biblioteche di personaggi celebri | Recensori in anteprima | Informazioni generali | 204,499,026 libri! | Barra superiore: Sempre visibile