Imitation and Social Learning in Robots, Humans and Animals (original) (raw)
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.
‘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 multidisciplinary 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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Contents
Contents
Select Frontmatter
Select Contents
Select List of plates
Select List of figures
Select List of tables
Select List of contributors
Select Introduction: the constructive interdisciplinary viewpoint for understanding mechanisms and models of imitation and social learning
Introduction: the constructive interdisciplinary viewpoint for understanding mechanisms and models of imitation and social learningpp 1-18
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select Part I - Correspondence problems and mechanisms
Part I - Correspondence problems and mechanismspp 19-22
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select 1 - Imitation: thoughts about theories
1 - Imitation: thoughts about theoriespp 23-34
- By [ Geoffrey Bird](/core/search?filters%5BauthorTerms%5D=Geoffrey Bird&eventCode=SE-AU), Department of Psychology and Institute of Cognitive Neuroscience, University College, London, UK,[ Cecilia Heyes](/core/search?filters%5BauthorTerms%5D=Cecilia Heyes&eventCode=SE-AU), Department of Psychology and Institute of Cognitive Neuroscience, University College, London, UK
Select 2 - Nine billion correspondence problems
2 - Nine billion correspondence problemspp 35-46
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), University of Hertfordshire, Adaptive Systems and Algorithms Research Groups, UK
Select 3 - Challenges and issues faced in building a framework for conducting research in learning from observation
3 - Challenges and issues faced in building a framework for conducting research in learning from observationpp 47-66
- By [ Darrin Bentivegna](/core/search?filters%5BauthorTerms%5D=Darrin Bentivegna&eventCode=SE-AU), Kyoto, Japan and Computational Brain Project, ICORP, Japan Science and Technology Agency, Kyoto, Japan,[ Christopher Atkeson](/core/search?filters%5BauthorTerms%5D=Christopher Atkeson&eventCode=SE-AU), Kyoto, Japan and Carnegie Mellon University, Robotics Institute, Pittsburgh, USA,[ Gordon Cheng](/core/search?filters%5BauthorTerms%5D=Gordon Cheng&eventCode=SE-AU), Kyoto, Japan and Computational Brain Project, ICORP, Japan Science and Technology Agency, Kyoto, Japan
Select Part II - Mirroring and ‘mind-reading’
Part II - Mirroring and ‘mind-reading’pp 67-70
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select 4 - A neural architecture for imitation and intentional relations
4 - A neural architecture for imitation and intentional relationspp 71-88
- By [ Marco Iacoboni](/core/search?filters%5BauthorTerms%5D=Marco Iacoboni&eventCode=SE-AU), Department of Psychiatry and Biobehavioral Sciences, Neuropsychiatric Institute and Brain Research Institute, University of California, UK,[ Jonas Kaplan](/core/search?filters%5BauthorTerms%5D=Jonas Kaplan&eventCode=SE-AU), FPR-UCLA Center for Culture, Brain and Development, Department of Psychology, University of California USA,,[ Stephen Wilson](/core/search?filters%5BauthorTerms%5D=Stephen Wilson&eventCode=SE-AU), Department of Psychiatry and Biobehavioral Sciences, Brain Research Institute, University of California USA,
Select 5 - Simulation theory of understanding others: a robotics perspective
5 - Simulation theory of understanding others: a robotics perspectivepp 89-102
- By [ Yiannis Demiris](/core/search?filters%5BauthorTerms%5D=Yiannis Demiris&eventCode=SE-AU), Department of Electrical and Electronic Engineering, Imperial College, London, UK,[ Matthew Johnson](/core/search?filters%5BauthorTerms%5D=Matthew Johnson&eventCode=SE-AU), Department of Electrical and Electronic Engineering, Imperial College, London, UK
Select 6 - Mirrors and matchings: imitation from the perspective of mirror-self-recognition, and the parietal region's involvement in both
6 - Mirrors and matchings: imitation from the perspective of mirror-self-recognition, and the parietal region's involvement in bothpp 103-130
- By [ Robert W. Mitchell](/core/search?filters%5BauthorTerms%5D=Robert W. Mitchell&eventCode=SE-AU), Department of Psychology, Eastern Kentucky University, USA
Select Part III - What to imitate?
Part III - What to imitate?pp 131-134
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select 7 - The question of ‘what to imitate’: inferring goals and intentions from demonstrations
7 - The question of ‘what to imitate’: inferring goals and intentions from demonstrationspp 135-152
- By [ Malinda Carpenter](/core/search?filters%5BauthorTerms%5D=Malinda Carpenter&eventCode=SE-AU), Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany,[ Josep Call](/core/search?filters%5BauthorTerms%5D=Josep Call&eventCode=SE-AU), Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
Select 8 - Learning of gestures by imitation in a humanoid robot
8 - Learning of gestures by imitation in a humanoid robotpp 153-178
- By [ Sylvain Calinon](/core/search?filters%5BauthorTerms%5D=Sylvain Calinon&eventCode=SE-AU), Swiss Federal Institute of Technology Lausanne (EPFL), Autonomous Systems Lab, Switzerland,[ Aude Billard](/core/search?filters%5BauthorTerms%5D=Aude Billard&eventCode=SE-AU), Swiss Federal Institute of Technology Lausanne (EPFL), Autonomous Systems Lab, Switzerland
Select 9 - The dynamic emergence of categories through imitation
9 - The dynamic emergence of categories through imitationpp 179-194
- By [ Tony Belpaeme](/core/search?filters%5BauthorTerms%5D=Tony Belpaeme&eventCode=SE-AU), School of Computing, Communications and Electronics, University of Plymouth, UK,[ Bart de Boer](/core/search?filters%5BauthorTerms%5D=Bart de Boer&eventCode=SE-AU), Rijksuniversiteit Groningen, Kunstmatige Intelligentie, The Netherlands,[ Bart Jansen](/core/search?filters%5BauthorTerms%5D=Bart Jansen&eventCode=SE-AU), Artificial Intelligence Lab, Vrije Universiteit Brussel (VUB), Belgiam
Select Part IV - Development and embodiment
Part IV - Development and embodimentpp 195-198
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select 10 - Copying strategies by people with autistic spectrum disorder: why only imitation leads to social cognitive development
10 - Copying strategies by people with autistic spectrum disorder: why only imitation leads to social cognitive developmentpp 199-216
- By [ Justin H. G. Williams](/core/search?filters%5BauthorTerms%5D=Justin H. G. Williams&eventCode=SE-AU), Department of Child Health, University of Aberdeen Medical School, UK
Select 11 - A Bayesian model of imitation in infants and robots
11 - A Bayesian model of imitation in infants and robotspp 217-248
- By [ Rajesh P. N. Rao](/core/search?filters%5BauthorTerms%5D=Rajesh P. N. Rao&eventCode=SE-AU), Department of Computer Science and Engineering, University of Washington, USA,[ Aaron P. Shon](/core/search?filters%5BauthorTerms%5D=Aaron P. Shon&eventCode=SE-AU), Department of Computer Science and Engineering, University of Washington, USA,[ Andrew N. Meltzoff](/core/search?filters%5BauthorTerms%5D=Andrew N. Meltzoff&eventCode=SE-AU), Institute for Learning and Brain Sciences, Seattle, University of Washington, USA
Select 12 - Solving the correspondence problem in robotic imitation across embodiments: synchrony, perception and culture in artifacts
12 - Solving the correspondence problem in robotic imitation across embodiments: synchrony, perception and culture in artifactspp 249-274
- By [ Aris Alissandrakis](/core/search?filters%5BauthorTerms%5D=Aris Alissandrakis&eventCode=SE-AU), Adaptive Systems Research Group, University of Hertfordshire, UK,[ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Adaptive Systems and Algorithms Research Groups, University of Hertfordshire, UK,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Adaptive Systems Research Group, University of Hertfordshire, UK
Select Part V - Synchrony and turn-taking as communicative mechanisms
Part V - Synchrony and turn-taking as communicative mechanismspp 275-278
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select 13 - How to build an imitator
13 - How to build an imitatorpp 279-300
- By [ Arnaud Revel](/core/search?filters%5BauthorTerms%5D=Arnaud Revel&eventCode=SE-AU), CNRS, Group ETIS, France,[ Jacqueline Nadel](/core/search?filters%5BauthorTerms%5D=Jacqueline Nadel&eventCode=SE-AU), CNRS, Group Development and Psychopathology, France
Select 14 - Simulated turn-taking and development of styles of motion
14 - Simulated turn-taking and development of styles of motionpp 301-322
- By [ Takashi Ikegami](/core/search?filters%5BauthorTerms%5D=Takashi Ikegami&eventCode=SE-AU), Department of General Systems Sciences, University of Tokyo, Japan,[ Hiroyuki Iizuka](/core/search?filters%5BauthorTerms%5D=Hiroyuki Iizuka&eventCode=SE-AU), Department of General Systems Sciences, University of Tokyo, Japan
Select 15 - Bullying behaviour, empathy and imitation: an attempted synthesis
15 - Bullying behaviour, empathy and imitation: an attempted synthesispp 323-340
- By [ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Adaptive Systems Research Group, University of Hertfordshire, UK,[ Sarah N. Woods](/core/search?filters%5BauthorTerms%5D=Sarah N. Woods&eventCode=SE-AU), Adaptive Systems Research, University of Hertfordshire, UK,[ Christina Kaouri](/core/search?filters%5BauthorTerms%5D=Christina Kaouri&eventCode=SE-AU), Adaptive Systems Research Group, University of Hertfordshire, UK
Select Part VI - Why imitate? – Motivations
Part VI - Why imitate? – Motivationspp 341-342
- By [ Chrystopher L. Nehaniv](/core/search?filters%5BauthorTerms%5D=Chrystopher L. Nehaniv&eventCode=SE-AU), Research Professor of Mathematical and Evolutionary Computer Sciences in the School of Computer Science, University of Hertfordshire, Adaptive Systems & Algorithms Research Groups, Hertfordshire,[ Kerstin Dautenhahn](/core/search?filters%5BauthorTerms%5D=Kerstin Dautenhahn&eventCode=SE-AU), Research Professor of Artificial Intelligence in the School of Computer Science, University of Hertfordshire, Adaptive Systems Research Group
Select 16 - Multiple motivations for imitation in infancy
16 - Multiple motivations for imitation in infancypp 343-360
- By [ Mark Nielsen](/core/search?filters%5BauthorTerms%5D=Mark Nielsen&eventCode=SE-AU), University of Queensland, School of Psychology, Early Cognitive Development Unit, Australia,[ Virginia Slaughter](/core/search?filters%5BauthorTerms%5D=Virginia Slaughter&eventCode=SE-AU), University of Queensland, School of Psychology, Early Cognitive Development Unit, Australia
Select 17 - The progress drive hypothesis: an interpretation of early imitation
17 - The progress drive hypothesis: an interpretation of early imitationpp 361-378
- By [ Frédéric Kaplan](/core/search?filters%5BauthorTerms%5D=Frédéric Kaplan&eventCode=SE-AU), Sony Computer Science Laboratory, Paris, France,[ Pierre-Yves Oudeyer](/core/search?filters%5BauthorTerms%5D=Pierre-Yves Oudeyer&eventCode=SE-AU), Sony Computer Science Laboratory, Paris