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Data Mining for Social Robotics: Toward Autonomously Social Robots: 0 (Advanced Information and Knowledge Processing) - Tapa blanda
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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Mohammad:Data Mining for Social Robotic (eng)
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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
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Springer International Publishing Mrz 2018, 2018
ISBN 10: 3319797557
ISBN 13: 9783319797557
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319797557
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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
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Condición: 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. Nº de ref. del artículo: 448755061
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Data Mining for Social Robotics: Toward Autonomously Social Robots (Advanced Information and Knowledge Processing)
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Condición: New. Print on Demand pp. 342. Nº de ref. del artículo: 370471694
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Data Mining for Social Robotics: Toward Autonomously Social Robots (Advanced Information and Knowledge Processing)
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Condición: New. PRINT ON DEMAND pp. 342. Nº de ref. del artículo: 18375606491
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Data Mining for Social Robotics : Toward Autonomously Social Robots
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783319797557
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Data Mining for Social Robotics
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Springer, Springer Mär 2018, 2018
ISBN 10: 3319797557
ISBN 13: 9783319797557
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Taschenbuch. Condición: 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 KG, Sachsenplatz 4-6, 1201 Wien 340 pp. Englisch. Nº de ref. del artículo: 9783319797557
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Data Mining for Social Robotics | Toward Autonomously Social Robots
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Taschenbuch. Condición: Neu. Data Mining for Social Robotics | Toward Autonomously Social Robots | Yasser Mohammad (u. a.) | Taschenbuch | Advanced Information and Knowledge Processing | xii | Englisch | 2018 | Springer | EAN 9783319797557 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 114225826
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