B. D. Argall, S. Chernova, M. Veloso, and B. Browning, A survey of robot learning from demonstration, Robotics and Autonomous Systems, vol.57, issue.5, pp.469-483, 2009.
DOI : 10.1016/j.robot.2008.10.024

A. Billard, Robota: Clever toy and educational tool, Robotics and Autonomous Systems, vol.42, issue.3-4, pp.259-269, 2003.
DOI : 10.1016/S0921-8890(02)00380-9

URL : http://infoscience.epfl.ch/record/60046/files/BillardR%26A03.pdf

J. Boes, F. Migeon, P. Glize, and E. Salvy, Model-free Optimization of an Engine Control Unit thanks to Self-Adaptive Multi-Agent Systems (regular paper), International Conference on Embedded Real Time Software and Systems (ERTS2), pp.350-359, 2014.

J. Boes, J. Nigon, N. Verstaevel, M. Gleizes, M. et al., The Self-Adaptive Context Learning Pattern: Overview and Proposal, Modeling and Using Context, pp.91-104, 2015.
DOI : 10.1007/978-3-642-19875-5_19

URL : https://hal.archives-ouvertes.fr/hal-01342997

J. Georgé, M. Gleizes, and V. Camps, Cooperation, Self-organising Software, Natural Computing Series, pp.7-32, 2011.
DOI : 10.1007/978-3-642-17348-6_9

C. Huang, Joint attention in human-robot interaction . Association for the Advancement of Artificial Intelligence, 2010.

N. Jazdi, Cyber physical systems in the context of Industry 4.0, 2014 IEEE International Conference on Automation, Quality and Testing, Robotics, pp.1-4, 2014.
DOI : 10.1109/AQTR.2014.6857843

W. B. Knox and P. Stone, Interactively shaping agents via human reinforcement, Proceedings of the fifth international conference on Knowledge capture, K-CAP '09, pp.9-16, 2009.
DOI : 10.1145/1597735.1597738

T. M. Mitchell, The discipline of machine learning, 2006.

C. L. Nehaniv and K. Dautenhahn, The correspondence problem. Imitation in animals and artifacts, p.41, 2002.

R. Niewiadomski, J. Hofmann, J. Urbain, T. Platt, J. Wagner et al., Laugh-aware virtual agent and its impact on user amusement, Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems International Foundation for Autonomous Agents and Multiagent Systems, pp.619-626, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00869751

J. Nigon, M. Gleizes, M. , and F. , Self-Adaptive Model Generation for Ambient Systems, Procedia Computer Science, vol.83, pp.675-679, 2016.
DOI : 10.1016/j.procs.2016.04.150

URL : https://doi.org/10.1016/j.procs.2016.04.150

J. Nigon, E. Glize, D. Dupas, F. Crasnier, and J. Boes, Use Cases of Pervasive Artificial Intelligence for Smart Cities Challenges, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016.
DOI : 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0159

URL : https://hal.archives-ouvertes.fr/hal-01484992

A. Pentina and C. H. Lampert, Lifelong learning with non-iid tasks, Advances in Neural Information Processing Systems, pp.1540-1548, 2015.

J. Piaget, Play, dreams and imitation in childhood, 1962.

J. Rifkin, How the Third Industrial Revolution Will Create a Green Economy, New Perspectives Quarterly, vol.33, issue.1, pp.6-10, 2016.
DOI : 10.1111/npqu.12017

B. Robins and K. Dautenhahn, Encouraging social interaction skills in children with autism playing with robots, Enfance, vol.59, issue.1, pp.72-81, 2007.
DOI : 10.3917/enf.591.0072

S. J. Russell, P. Norvig, J. F. Canny, J. M. Malik, and D. D. Edwards, Artificial intelligence: a modern approach, 2003.

G. D. Serugendo, M. Gleizes, and A. Karageorgos, Self-organising systems, Self-organising Software, pp.7-32, 2011.

D. L. Silver, Q. Yang, L. , and L. , Lifelong machine learning systems: Beyond learning algorithms, AAAI Spring Symposium: Lifelong Machine Learning, pp.49-55, 2013.

K. R. Thorisson, J. Bieger, and T. Thorarensen, Why Artificial Intelligence Needs a Task Theory, Artificial General Intelligence: 9th International Conference , AGI 2016 Proceedings, p.118, 2016.
DOI : 10.1142/S1793843011000686

S. Thrun and T. M. Mitchell, Lifelong robot learning, The biology and technology of intelligent autonomous agents, pp.165-196, 1995.

N. Verstaevel, Self-Organization of Robotic Devices Through Demonstrations, 2016.

N. Verstaevel, C. Régis, M. Gleizes, R. , and F. , Principles and experimentations of selforganizing embedded agents allowing learning from demonstration in ambient robotics, Future Generation Computer Systems, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01530401

B. Zhang, Ontogenesis of agency in machines: A multidisciplinary review, AAAI 2014 Fall Symposium on The Nature of Humans and Machines: A Multidisciplinary Discourse, 2014.