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Machines sociales : la collision à venir de l'intelligence artificielle, sociale...-

Texte d'origine
Social Machines: The Coming Collision of Artificial Intelligence, Social...
by Hendler, James; Mulvehill, Alice M. | PB | VeryGood
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7,66 USD
Environ6,87 EUR
État :
Très bon état
May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ... En savoir plusà propos de l'état
Livraison :
Gratuit Economy Shipping.
Lieu où se trouve l'objet : Aurora, Illinois, États-Unis
Délai de livraison :
Estimé entre le sam. 28 sept. et le mar. 1 oct. à 43230
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Numéro de l'objet eBay :196391376561
Dernière mise à jour le 24 août 2024 12:22:28 Paris. Afficher toutes les modificationsAfficher toutes les modifications

Caractéristiques de l'objet

État
Très bon état
Livre qui ne semble pas neuf, ayant déjà été lu, mais qui est toujours en excellent état. La couverture ne présente aucun dommage apparent. Pour les couvertures rigides, la jaquette (si applicable) est incluse. Aucune page n'est manquante, endommagée, pliée ni déchirée. Aucun texte n'est souligné ni surligné. Aucune note ne figure dans les marges. La couverture intérieure peut présenter des marques d'identification mineures. Marques d'usure et déchirures mineures. Consulter l'annonce du vendeur pour avoir plus de détails et voir la description des défauts. Afficher toutes les définitions des étatsla page s'ouvre dans une nouvelle fenêtre ou un nouvel onglet
Commentaires du vendeur
“May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend ...
Binding
Paperback
Weight
0 lbs
Product Group
Book
IsTextBook
No
ISBN
9781484211571
Subject Area
Computers
Publication Name
Social Machines : the Coming Collision of Artificial Intelligence, Social Networking, and Humanity
Publisher
Apress L. P.
Item Length
9.3 in
Subject
Web / Social Media, Intelligence (Ai) & Semantics, General
Publication Year
2016
Type
Textbook
Format
Trade Paperback
Language
English
Author
Alice M. Mulvehill, James Hendler
Item Weight
105.6 Oz
Item Width
6.1 in
Number of Pages
Xvi, 174 Pages

À propos de ce produit

Product Identifiers

Publisher
Apress L. P.
ISBN-10
148421157X
ISBN-13
9781484211571
eBay Product ID (ePID)
3038389544

Product Key Features

Number of Pages
Xvi, 174 Pages
Publication Name
Social Machines : the Coming Collision of Artificial Intelligence, Social Networking, and Humanity
Language
English
Subject
Web / Social Media, Intelligence (Ai) & Semantics, General
Publication Year
2016
Type
Textbook
Author
Alice M. Mulvehill, James Hendler
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Weight
105.6 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2016-950738
Reviews
"Social Machines, by Hendler (computer, web and cognitive sciences, Rensselaer Polytechnic Institute) and Mulvehill, a research scientist and consultant, presents a provocative, futuristic view of machine-aided interaction with humans and intelligent machines. ... This is an excellent book with many new and unique insights, and it is recommended to all. Summing Up: Recommended. All readers." (C. Tappert, Choice, Vol. 54 (9), May, 2017)
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3
Table Of Content
Chapter 1 Introduction.- Chapter 2 Who Will be Your Next Doctor?.- Chapter 3 The Games We Play.- Chapter 4 The Limits of Humans.- Chapter 5 What Machines Can't Do...Yet.- Chapter 6 Augmenting Human Capabilities With AI.- Chapter 7 Social Machines: Embracing the Blur.- Chapter 8 Social Challenges for the Social Machine.- Chapter 9 Conclusion: Social Machines and the New Future.
Synopsis
Will your next doctor be a human being--or a machine? Will you have a choice? If you do, what should you know before making it? This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species. AI experts and researchers James Hendler--co-originator of the Semantic Web (Web 3.0)--and Alice Mulvehill--developer of AI-based operational systems for DARPA, the Air Force, and NASA--explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaimsof AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines. What Readers Will Learn What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence How modern artificial intelligence technologies, such as Watson, are evolving and how they process knowledge from both carefully produced information (such as Wikipedia and journal articles) and from big data collections The fundamentals of neuromorphic computing, knowledge graph search, and linked data, as well as the basic technology concepts that underlie networking applications such as Facebook and Twitter How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications Who This Book Is For General readers and technically engaged developers, entrepreneurs, and technologists interested in the threats and promises of the accelerating convergence of artificial intelligence with social networks and mobile web technologies., Will your next doctor be a human being--or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.AI experts and researchers James Hendler--co-originator of the Semantic Web (Web 3.0)--and Alice Mulvehill--developer of AI-based operational systems for DARPA, the Air Force, and NASA--explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaimsof AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines. What Readers Will Learn What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence How modern artificial intelligence technologies, such as Watson, are evolving and how they process knowledge from both carefully produced information (such as Wikipedia and journal articles) and from big data collections The fundamentals of neuromorphic computing, knowledge graph search, and linked data, as well as the basic technology concepts that underlie networking applications such as Facebook and Twitter How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications Who This Book Is ForGeneral readers and technically engaged developers, entrepreneurs, and technologists interested in the threats and promises of the accelerating convergence of artificial intelligence with social networks and mobile web technologies., Will your next doctor be a human being--or a machine? Will you have a choice? If you do, what should you know before making it?This book introduces the reader to the pitfalls and promises of artificial intelligence (AI) in its modern incarnation and the growing trend of systems to "reach off the Web" into the real world. The convergence of AI, social networking, and modern computing is creating an historic inflection point in the partnership between human beings and machines with potentially profound impacts on the future not only of computing but of our world and species.AI experts and researchers James Hendler--co-originator of the Semantic Web (Web 3.0)--and Alice Mulvehill--developer of AI-based operational systems for DARPA, the Air Force, and NASA--explore the social implications of AI systems in the context of a close examination of the technologies that make them possible. The authors critically evaluate the utopian claims and dystopian counterclaims of AI prognosticators. Social Machines: The Coming Collision of Artificial Intelligence, Social Networking, and Humanity is your richly illustrated field guide to the future of your machine-mediated relationships with other human beings and with increasingly intelligent machines. What Readers Will Learn What the concept of a social machine is and how the activities of non-programmers are contributing to machine intelligence How modern artificial intelligence technologies, such as Watson, are evolving and how they process knowledge from both carefully produced information (such as Wikipedia and journal articles) and from big data collections The fundamentals of neuromorphic computing, knowledge graph search, and linked data, as well as the basic technology concepts that underlie networking applications such as Facebook and Twitter How the change in attitudes towards cooperative work on the Web, especially in the younger demographic, is critical to the future of Web applications Who This Book Is ForGeneral readers and technically engaged developers, entrepreneurs, and technologists interested in the threats and promises of the accelerating convergence of artificial intelligence with social networks and mobile web technologies.
LC Classification Number
Q334-342

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