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.
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 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).
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 Frederic 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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