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Titlebook: Data Mining for Social Robotics; Toward Autonomously Yasser Mohammad,Toyoaki Nishida Book 2015 Springer International Publishing Switzerla

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Learning from DemonstrationCreating robots that can easily learn new skills as effectively as humans (or dogs or ants) is the holly grail of intelligent robotics. Several approaches to achieve this goal have appeared over the years.
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ConclusionThis book provided a systematic introduction to the engineering of autonomous sociality in robots using techniques from time-series analysis and data mining.
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Commentar zur Pharmacopoea Germanicacal social embodiment. EICA has two components: a general behavioral robotic architecture with a flexible action integration mechanism upon which interaction protocol learning to support autonomous sociality is implemented.
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Yasser Mohammad,Toyoaki NishidaReviews 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 analysi
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Advanced Information and Knowledge Processinghttp://image.papertrans.cn/d/image/262954.jpg
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The Embodied Interactive Control Architecturecal social embodiment. EICA has two components: a general behavioral robotic architecture with a flexible action integration mechanism upon which interaction protocol learning to support autonomous sociality is implemented.
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Interacting Naturally of this architecture in light of the theoretical foundations presented in Chap. . and shows how different parts of the architecture fit together to provide human-like interaction capabilities for the robot.
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1610-3947 s in change discovery, motif discovery and causality analysi.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 presen
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