Data Mining for Social Robotics

Name: Data Mining for Social Robotics
Brand: Springer International Publishing AG
SKU: 9783319252308
Price: 427.61 PLN
Availability: InStock

Toward Autonomously Social Robots

Autor: Yasser Mohammad, Toyoaki Nishida

Język:

Oprawa: Twarda

Wydawca: Springer International Publishing AG

Dostępność: Dostępna u dostawcy

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This book explores an approach to social robotics based solely on autonomous unsupervised techniques...

Informacje o książce

Autor

Yasser Mohammad, Toyoaki Nishida

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2016

strony

328

EAN

9783319252308

ISBN

3319252305

Enbook ID

09529374

Wydawca

Springer International Publishing AG

Waga

6328

Wymiary

155 x 235 x 22

Pełny opis

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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