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Imitation and Social Learning in Robots, Humans and Animals
Behavioural, Social and Communicative Dimensions

$58.00 ( ) USD

Kerstin Dautenhahn, Chrystopher L. Nehaniv, Geoffrey Bird, Cecilia Heyes, Darrin Bentivegna, Christopher Atkeson, Gordon Cheng, Marco Iacoboni, Jonas Kaplan, Stephen Wilson, Yiannis Demiris, Matthew Johnson, Robert W. Mitchell, Malinda Carpenter, Josep Call, Sylvain Calinon, Aude Billard, Tony Belpaeme, Bart de Boer, Bart Jansen, Justin H. G. Williams, Rajesh P. N. Rao, Aaron P. Shon, Andrew N. Meltzoff, Aris Alissandrakis, Arnaud Revel, Jacqueline Nadel, Takashi Ikegami, Hiroki Iizuka, Sarah N. Woods, Christina Kaouri, Mark Nielsen, Virginia Slaughter, Frédéric Kaplan, Pierre-Yves Oudeyer, Irene M. Pepperberg, Diane V. Sherman, Monica N. Nicolescu, Maja J. Mataric, Ludwig Huber, Mark D. Norman, Tom Tregenza
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  • Date Published: June 2007
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511282232

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About the Authors
  • Mechanisms of imitation and social matching play a fundamental role in development, communication, interaction, learning and culture. Their investigation in different agents (animals, humans and robots) has significantly influenced our understanding of the nature and origins of social intelligence. Whilst such issues have traditionally been studied in areas such as psychology, biology and ethnology, it has become increasingly recognised that a 'constructive approach' towards imitation and social learning via the synthesis of artificial agents can provide important insights into mechanisms and create artefacts that can be instructed and taught by imitation, demonstration, and social interaction rather than by explicit programming. This book studies increasingly sophisticated models and mechanisms of social matching behaviour and marks an important step towards the development of an interdisciplinary research field, consolidating and providing a valuable reference for the increasing number of researchers in the field of imitation and social learning in robots, humans and animals.

    • Editorial introductions give readers an overview of important concepts of themes and content
    • Chapters cover various relevant disciplines as well as reporting on interdisciplinary research projects
    • Contains a unique focus on a constructivist approach to mechanisms and models of social matching behaviour, not only as a means for learning, but also in its communicative, behavioural, and social dimensions
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    Reviews & endorsements

    "Imitation and Social Learning in Robots, Humans, and Animals advances our understanding of the diversity of “imitations” and how much is to be learned from comparing them across species as diverse as parrots, butterflies, and even a male cuttlefish impersonating a female in a breeding pair – and thence to humans and their primate cousins and the brain mechanisms which support imitation and social learning. This book offers a rich set of processing strategies of importance to key areas of computer science, like robotics and embodied communication – and this new understanding factors back into novel theories of human social interaction and its disorders."
    Michael Arbib, University Professor, Fletcher Jones Chair in Computer Science and Professor of Biological Sciences and Biomedical Engineering, University of Southern California

    "Imitation has become the hottest of multi-disciplinary topics in recent years. Nehaniv and Dautenhan have led the way in recognising the very special potential for cross-fertilisation between engineers endeavouring to create truly imitative robots and researchers studying imitation in natural systems, from parrots to people. In this substantial new state-of-the-art volume, they bring together leading figures to provide an unprecedented appraisal of the key issues and the most recent discoveries in this field."
    Andrew Whiten, Wardlaw Professor of Psychology, University of St Andrews

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    Product details

    • Date Published: June 2007
    • format: Adobe eBook Reader
    • isbn: 9780511282232
    • contains: 77 b/w illus. 20 colour illus. 5 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Introduction: The constructive interdisciplinary viewpoint for understanding mechanisms and models of imitation and social learning Kerstin Dautenhahn and Chrystopher L. Nehaniv
    Part I. Correspondence Problems and Mechanisms:
    1. Imitation: thoughts about theories Geoffrey Bird and Cecilia Heyes
    2. Nine billion correspondence problems Chrystopher L. Nehaniv
    3. Challenges and issues faced in building a framework for conducting research in learning from observation Darrin Bentivegna, Christopher Atkeson and Gordon Cheng
    Part II. Mirroring and 'Mind-Reading':
    4. A neural architecture for imitation and intentional relations Marco Iacoboni, Jonas Kaplan and Stephen Wilson
    5. Simulation theory of understanding others: a robotics perspective Yiannis Demiris and Matthew Johnson
    6. Mirrors and matchings: imitation from the perspective of mirror-self-recognition and the parietal region's involvement in both Robert W. Mitchell
    Part III. What to Imitate:
    7. The question of 'what to imitate': inferring goals and intentions from demonstrations Malinda Carpenter and Josep Call
    8. Learning of gestures by imitation in a humanoid robot Sylvain Calinon and Aude Billard
    9. The dynamic emergence of categories through imitation Tony Belpaeme, Bart de Boer and Bart Jansen
    Part IV. Development and Embodiment:
    10. Copying strategies by people with autistic spectrum disorder: why only imitation leads to social cognitive development Justin H. G. Williams
    11. A bayesian model of imitation in infants and robots Rajesh P. N. Rao, Aaron P. Shon and Andrew N. Meltzoff
    12. Solving the correspondence problem in robotic imitation across embodiments: synchrony, perception and culture in artefacts Aris Alissandrakis, Chrystopher L. Nehaniv and Kerstin Dautenhahn
    Part V. Synchrony and Turn-Taking as Communicative Mechanisms:
    13. How to build an imitator? Arnaud Revel and Jacqueline Nadel
    14. Simulated turn-taking and development of styles of motion Takashi Ikegami and Hiroki Iizuka
    15. Bullying behaviour, empathy and imitation: an attempted synthesis Kerstin Dautenhahn, Sarah N. Woods and Christina Kaouri
    Part VI. Why Imitate? Motivations:
    16. Multiple motivations for imitation in infancy Mark Nielsen and Virginia Slaughter
    17. The progress drive hypothesis: an interpretation of early imitation Frédéric Kaplan and Pierre-Yves Oudeyer
    Part VII. Social Feedback:
    18. Training behaviour by imitation: from parrots to people … to robots? Irene M. Pepperberg and Diane V. Sherman
    19. Task learning through imitation and human-robot interaction Monica N. Nicolescu and Maja J. Mataric
    Part VIII. The Ecological Context:
    20. Emulation learning: the integration of technical and social cognition Ludwig Huber
    21. Mimicry as deceptive resemblance: beyond the one-trick ponies Mark D. Norman and Tom Tregenza.

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    Imitation and Social Learning in Robots, Humans and Animals

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  • Editors

    Chrystopher L. Nehaniv, University of Hertfordshire
    Chrystopher L. Nehaniv is Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science at the University of Hertfordshire, where he works with the Adaptive Systems, Algorithms and BioComputation Research Groups. He is the Director of the UK EPSRC Network on Evolvability in Biological and Software Systems and an Associate Editor of BioSystems: Journal of Biological and Information Processing Sciences and Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems.

    Kerstin Dautenhahn, University of Hertfordshire
    Kerstin Dautenhahn is Research Professor of Artificial Intelligence in the School of Computer Science at the University of Hertfordshire, where she is a coordinator of the Adaptive Systems Research Group. Her research interests include social learning, human-robot interaction, social robotics, narrative and robotic assisted therapy for children with autism. She is the Editor-in-Chief of Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems and the general chair of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2006).

    Contributors

    Kerstin Dautenhahn, Chrystopher L. Nehaniv, Geoffrey Bird, Cecilia Heyes, Darrin Bentivegna, Christopher Atkeson, Gordon Cheng, Marco Iacoboni, Jonas Kaplan, Stephen Wilson, Yiannis Demiris, Matthew Johnson, Robert W. Mitchell, Malinda Carpenter, Josep Call, Sylvain Calinon, Aude Billard, Tony Belpaeme, Bart de Boer, Bart Jansen, Justin H. G. Williams, Rajesh P. N. Rao, Aaron P. Shon, Andrew N. Meltzoff, Aris Alissandrakis, Arnaud Revel, Jacqueline Nadel, Takashi Ikegami, Hiroki Iizuka, Sarah N. Woods, Christina Kaouri, Mark Nielsen, Virginia Slaughter, Frédéric Kaplan, Pierre-Yves Oudeyer, Irene M. Pepperberg, Diane V. Sherman, Monica N. Nicolescu, Maja J. Mataric, Ludwig Huber, Mark D. Norman, Tom Tregenza

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