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A carregar... Algorithms to Live By: The Computer Science of Human Decisions (original 2017; edição 2016)por Brian Christian (Autor), Tom Griffiths (Autor)
Informação Sobre a ObraAlgorithms 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. 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. sem críticas | adicionar uma crítica
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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. |
LibraryThing Early Reviewers AlumBrian Christian's book Algorithms to Live By was available from LibraryThing Early Reviewers. Current DiscussionsNenhum(a)Capas populares
Google Books — A carregar... GénerosSistema Decimal de Melvil (DDC)153.4Philosophy and Psychology Psychology Cognition And Memory Thought, thinking, reasoning, intuition, value, judgmentClassificação da Biblioteca do Congresso dos EUA (LCC)AvaliaçãoMédia:
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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. ( )