Data Mining for Social Robots - Couverture rigide
Livre 49 sur 66: Advanced Information and Knowledge Processing
Synopsis
This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning.
The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.
Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics.
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Data mining for social robotics. Toward autonomously social robots.
Edité par
Cham, Springer., 2015
ISBN 10 : 3319252305
ISBN 13 : 9783319252308
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XII, 328 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advanced information and knowledge processing. Sprache: Englisch. N° de réf. du vendeur 7687EB
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Data Mining for Social Robotics: Toward Autonomously Social Robots (eng)
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur b009fe9c0fa8b8176d1442134a4adb83
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Data Mining for Social Robotics : Toward Autonomously Social Robots
Edité par
Palgrave Macmillan, 2016
ISBN 10 : 3319252305
ISBN 13 : 9783319252308
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 340 | Sprache: Englisch | Produktart: Bücher | This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning. The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social. Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics. N° de réf. du vendeur 26143385/12
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Data Mining for Social Robotics: Toward Autonomously Social Robots (Advanced Information and Knowledge Processing)
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Data Mining for Social Robotics
Edité par
Springer International Publishing Feb 2016, 2016
ISBN 10 : 3319252305
ISBN 13 : 9783319252308
Neuf
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning. The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social. Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics. 340 pp. Englisch. N° de réf. du vendeur 9783319252308
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Data Mining for Social Robots
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319252305
ISBN 13 : 9783319252308
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Reviews the key recent research in social robotics, learning from demonstration and imitation Offers a detailed explanation of key algorithms in change discovery, motif discovery and causality analysis Illustrates in detail the design met. N° de réf. du vendeur 67978444
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Data Mining for Social Robotics | Toward Autonomously Social Robots
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
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Buch. Etat : Neu. Data Mining for Social Robotics | Toward Autonomously Social Robots | Yasser Mohammad (u. a.) | Buch | xii | Englisch | 2016 | Springer | EAN 9783319252308 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 104240476
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Data Mining for Social Robotics
ISBN 10 : 3319252305
ISBN 13 : 9783319252308
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning.The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. N° de réf. du vendeur 9783319252308
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Data Mining for Social Robotics: Toward Autonomously Social Robots
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Hardcover. Etat : Brand New. 9.50x6.50x1.00 inches. In Stock. N° de réf. du vendeur x-3319252305
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Data Mining for Social Robotics : Toward Autonomously Social Robots
Edité par
Springer International Publishing, 2016
ISBN 10 : 3319252305
ISBN 13 : 9783319252308
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining. The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning. The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social. Data Mining for Social Robots will be essential reading for graduate students and practitioners interested in social and developmental robotics. N° de réf. du vendeur 9783319252308
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