Algorithms to Live by : The Computer Science of Human Decisions Brian Christian texte complet

Algorithms to Live by : The Computer Science of Human Decisions

de Brian Christian

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Algorithms to Live by : The Computer Science of Human Decisions Brian Christian texte complet - 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 mindAll 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.

Détails de Algorithms to Live by : The Computer Science of Human Decisions

Titre du livre : Algorithms to Live by : The Computer Science of Human Decisions

Auteur : Brian Christian

ISBN-10 : 1627790365

Date de sortie : 2016-04-19

Catégorie : Livres

Nom de fichier : algorithms-to-live-by-the-computer-science-of-human-decisions.pdf

Taille du fichier : 18.97 (La vitesse du serveur actuel est 18.67 Mbps

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Very good and shows you how you can organise your life, or see what we can expect from the future with machine learning and AI..Short term: very useful and insightfulLong term: scary