Data Mining for Social Robotics: Toward Autonomously Social Robots: 0 (Advanced Information and Knowledge Processing) - Tapa dura

Libro 49 de 66: Advanced Information and Knowledge Processing

Nishida, Toyoaki; Mohammad, Yasser

 
9783319252308: Data Mining for Social Robotics: Toward Autonomously Social Robots: 0 (Advanced Information and Knowledge Processing)
Tapa dura
ISBN 10: 3319252305 ISBN 13: 9783319252308
Editorial: Springer, 2016

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.

Editorial
Springer
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3319252305
ISBN 13 
9783319252308
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
342
Contacto del fabricante
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Darmstadt
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Alemania

Otras ediciones populares con el mismo título

9783319797557: Data Mining for Social Robotics: Toward Autonomously Social Robots: 0 (Advanced Information and Knowledge Processing)

Edición Destacada

ISBN 10:  3319797557 ISBN 13:  9783319797557
Editorial: Springer, 2018
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