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
Robot Programming by Demonstration, pp.1371-1394, 2008. ,
DOI : 10.1007/978-3-540-30301-5_60
The Self-Adaptive Context Learning Pattern: Overview and Proposal, Proceedings of the Ninth International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT2015), p.2015 ,
DOI : 10.1007/978-3-319-25591-0_7
URL : https://hal.archives-ouvertes.fr/hal-01342997
ADELFE 2.0, pp.19-63, 2014. ,
DOI : 10.1007/978-3-642-39975-6_3
Elephants don't play chess, Robotics and Autonomous Systems, vol.6, issue.1-2, pp.3-15, 1990. ,
DOI : 10.1016/S0921-8890(05)80025-9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.6657
The AMAS theory for complex problem solving based on self-organizing cooperative agents, WET ICE 2003. Proceedings. Twelfth IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2003., pp.383-388, 2003. ,
DOI : 10.1109/ENABL.2003.1231441
Learning like a baby: a survey of artificial intelligence approaches, The Knowledge Engineering Review, vol.15, issue.02, pp.209-236, 2011. ,
DOI : 10.1016/S0378-4754(97)00057-8
Self-adaptive Complex Systems, Multi-Agent Systems, pp.114-128, 2012. ,
DOI : 10.1007/978-3-642-34799-3_8
Context Awareness in Ambient Systems by an Adaptive Multi-Agent Approach, Ambient intelligence, pp.129-144, 2015. ,
DOI : 10.1007/978-3-642-34898-3_9
Autonomous car following: A learning-based approach, 2015 IEEE Intelligent Vehicles Symposium (IV), pp.2015-920, 2015. ,
DOI : 10.1109/IVS.2015.7225802
Context Aware Computing for The Internet of Things: A Survey, IEEE Communications Surveys & Tutorials, vol.16, issue.1, pp.414-454, 2014. ,
DOI : 10.1109/SURV.2013.042313.00197
Model and Experiments of Local Decision Based on Cooperative Self- Organization, Second International Indian Conference on Artificial Intelligence (IICAI'05), 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-01205856
How the body shapes the way we think: a new view of intelligence, 2006. ,
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain, The International Journal of Robotics Research, vol.25, issue.1, 2010. ,
DOI : 10.1177/0278364910369715
Computing machinery and intelligence. Mind, pp.433-460, 1950. ,
Principles and Experimentations of Self-organizing Embedded Agents Allowing Learning from Demonstration in Ambient Robotic, Procedia Computer Science, vol.52, pp.194-201, 2015. ,
DOI : 10.1016/j.procs.2015.05.056
URL : https://hal.archives-ouvertes.fr/hal-01387728
Trajectory learning and reproduction for differential drive mobile robots based on GMM/HMM and dynamic time warping using learning from demonstration framework, Engineering Applications of Artificial Intelligence, vol.45, pp.388-404, 2015. ,
DOI : 10.1016/j.engappai.2015.07.002
The Computer for the 21st Century, Scientific American, vol.265, issue.3, pp.94-104 ,
DOI : 10.1038/scientificamerican0991-94
Introduction, 2001. ,
DOI : 10.1201/9781420075571.fmatta