Perspectives on Imitation, Volume 1

Perspectives on Imitation, Volume 1
Author: Susan Hurley
Publisher: MIT Press
Total Pages: 464
Release: 2005-02-18
Genre: Psychology
ISBN: 9780262582506


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A state-of-the-art view of imitation from leading researchers in neuroscience and brain imaging, animal and developmental psychology, primatology, ethology, philosophy, anthropology, media studies, economics, sociology, education, and law. Leading researchers across a range of disciplines provide a state-of-the-art view of imitation, integrating the latest findings and theories with reviews of seminal work, and revealing why imitation is a topic of such intense current scientific interest.


Perspectives on Imitation, Volume 1
Language: en
Pages: 464
Authors: Susan Hurley
Categories: Psychology
Type: BOOK - Published: 2005-02-18 - Publisher: MIT Press

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A state-of-the-art view of imitation from leading researchers in neuroscience and brain imaging, animal and developmental psychology, primatology, ethology, phi
Perspectives on Imitation, Volume 1
Language: en
Pages: 452
Authors: Susan Hurley
Categories: Psychology
Type: BOOK - Published: 2005-02-18 - Publisher: Bradford Books

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A state-of-the-art view of imitation from leading researchers in neuroscience and brain imaging, animal and developmental psychology, primatology, ethology, phi
Perspectives on Imitation: Imitation, human development, and culture
Language: en
Pages: 563
Authors: Susan L. Hurley
Categories: Animal behavior
Type: BOOK - Published: 2005 - Publisher: MIT Press

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A state-of-the-art view of imitation from leading researchers in neuroscience and brain imaging, animal and developmental psychology, primatology, ethology, phi
Perspectives on Imitation
Language: en
Pages:
Authors: Susan Hurley
Categories:
Type: BOOK - Published: 2005 - Publisher:

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An Algorithmic Perspective on Imitation Learning
Language: en
Pages: 194
Authors: Takayuki Osa
Categories: Technology & Engineering
Type: BOOK - Published: 2018-03-27 - Publisher:

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Familiarizes machine learning experts with imitation learning, statistical supervised learning theory, and reinforcement learning. It also roboticists and exper