, semble de faits qui généralise l'ensemble des informations des faits. L'objectif est de pouvoir apprendre de nouvelles macro-actions en observant des évènements du monde

I. Awaad, G. K. Kraetzschmar, and J. Hertzberg, Challenges in finding ways to get the job done, Planning and Robotics (PlanRob) Workshop at 24th International Conference on Automated Planning and Scheduling, 2014.

D. Bryce and S. Kambhampati, A tutorial on planning graph based reachability heuristics, vol.28, pp.47-47, 2007.

A. Cimatti, M. Pistore, M. Roveri, and P. Traverso, Weak, strong, and strong cyclic planning via symbolic model checking, Artificial Intelligence, vol.147, issue.1-2, pp.35-84, 2003.

M. Ghallab, C. Knoblock, D. Wilkins, A. Barrett, D. Christianson et al., Pddl -the planning domain definition language, vol.08, 1998.

M. Ghallab, D. Nau, and P. Traverso, The actors view of automated planning and acting : A position paper, Artificial Intelligence, vol.208, pp.1-17, 2014.

D. Nau, P. Traverso, and M. Ghallab, Automated Planning : theory and practice, 2004.
URL : https://hal.archives-ouvertes.fr/hal-01982019

J. Kristian and . Hammond, Case-based planning : Viewing planning as a memory task, 2012.

N. Hawes, A survey of motivation frameworks for intelligent systems, Artificial Intelligence, vol.175, issue.5-6, pp.1020-1036, 2011.

B. Hayes, -. Roth, and F. Hayes-roth, A cognitive model of planning, Cognitive science, vol.3, issue.4, pp.275-310, 1979.

D. Kahneman and S. Frederick, Representativeness revisited : Attribute substitution in intuitive judgment. Heuristics and biases : The psychology of intuitive judgment, vol.49, p.81, 2002.

C. Kemke and E. Walker, Planning with action abstraction and plan decomposition hierarchies, IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp.447-451, 2006.

. Lj-manso, R. Bustos, G. Alami, P. Milliez, and . Núnez, Planning human-robot interaction tasks using graph models, Proceedings of International Workshop on Recognition and Action for Scene Understanding, pp.15-27, 2015.

F. Mcneill, A. Bundy, and C. Walton, Planning from rich ontologies through translation between representations, Workshop on the Role of Ontologies in Planning and Scheduling, pp.13-21, 2005.

G. Mirabella, Should i stay or should i go ? conceptual underpinnings of goal-directed actions. Frontiers in systems neuroscience, vol.8, p.206, 2014.

T. Dana-s-nau, O. Au, U. Ilghami, W. Kuter, D. Murdock et al., Shop2 : An htn planning system, Journal of artificial intelligence research, vol.20, pp.379-404, 2003.

G. Pezzulo and C. Castelfranchi, Thinking as the control of imagination : a conceptual framework for goal-directed systems, Psychological Research PRPF, vol.73, issue.4, pp.559-577, 2009.

E. Martha and . Pollack, The uses of plans, Artificial Intelligence, vol.57, issue.1, pp.43-68, 1992.

E. Martha, J. F. Pollack, and . Horty, There's more to life than making plans : plan management in dynamic, multiagent environments, vol.20, p.71, 1999.

H. Simon, Models of a man : Essays in memory of Herbert A, 2004.

F. John and . Sowa, Conceptual graphs for a data base interface, IBM Journal of Research and Development, vol.20, issue.4, pp.336-357, 1976.

A. Lee, ;. Spector, and . Cen-ter, Supervenience in dynamic-world planning, 1992.

S. Vattam, Breadth of approaches to goal reasoning : A research survey, Naval Research Lab, 2013.

E. David and . Wilkins, A call for knowledge-based planning. AI magazine, vol.22, p.99, 2001.