OFFRE LISEUSES
Une liseuse achetée = une housse offerte* jusqu'au 21 juin
How to Grow a Robot. Developing Human-Friendly, Social AI
Par :Formats :
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub protégé est :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
- Non compatible avec un achat hors France métropolitaine
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- Nombre de pages384
- FormatePub
- ISBN978-0-262-35786-9
- EAN9780262357869
- Date de parution26/05/2020
- Protection num.Adobe DRM
- Taille9 Mo
- Infos supplémentairesepub
- ÉditeurThe MIT Press
Résumé
A computer science expert reveals how we can make robots more human-like, friendly, and engaging with a robotics approach inspired by developmental psychology. Most robots are not very friendly. They vacuum the rug, mow the lawn, dispose of bombs, even perform surgery-but they aren't good conversationalists. It's difficult to make eye contact. If the future promises more human-robot collaboration in both work and play, wouldn't it be better if the robots were less mechanical and more social? In How to Grow a Robot, Mark Lee explores how robots can be more human-like, friendly, and engaging.
Developments in artificial intelligence-notably Deep Learning-are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match-winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive-more like humans and less like computers, more social than machine-like, and more playful and less programmed.
The way to achieve this, he argues, is to "grow" a robot so that it learns from experience-just as infants do. After describing "what's wrong with artificial intelligence" (one key shortcoming: it's not embodied), Lee presents a different approach to building human-like robots: developmental robotics, inspired by developmental psychology and its accounts of early infant behavior. He describes his own experiments with the iCub humanoid robot and its development from newborn helplessness to ability levels equal to a 9-month-old, explaining how the iCub learns from its own experiences.
AI robots are designed to know humans as objects; developmental robots will learn empathy. Developmental robots, with an internal model of "self, " will be better interactive partners with humans. That is the kind of future technology we should work toward.
Developments in artificial intelligence-notably Deep Learning-are widely seen as the foundation on which our robot future will be built. These advances have already brought us self-driving cars and chess match-winning algorithms. But, Lee writes, we need robots that are perceptive, animated, and responsive-more like humans and less like computers, more social than machine-like, and more playful and less programmed.
The way to achieve this, he argues, is to "grow" a robot so that it learns from experience-just as infants do. After describing "what's wrong with artificial intelligence" (one key shortcoming: it's not embodied), Lee presents a different approach to building human-like robots: developmental robotics, inspired by developmental psychology and its accounts of early infant behavior. He describes his own experiments with the iCub humanoid robot and its development from newborn helplessness to ability levels equal to a 9-month-old, explaining how the iCub learns from its own experiences.
AI robots are designed to know humans as objects; developmental robots will learn empathy. Developmental robots, with an internal model of "self, " will be better interactive partners with humans. That is the kind of future technology we should work toward.