C. Buche, A. Jeannin-girardon, and P. De-loor, Simulation theory and anticipation as a basis for interactive virtual character in an uncertain world. application to a human-virtual characters interaction for juggling, Computer Animation and Social Agents (CASA'11) Special Issue, p.133139, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00784572

C. Buche and R. Querrec, An expert system manipulating knowledge to help human learners into virtual environment, Expert Systems with Applications, vol.38, issue.7, p.84468457, 2011.
DOI : 10.1016/j.eswa.2011.01.040
URL : https://hal.archives-ouvertes.fr/hal-00784564

C. Buche, C. Bossard, R. Querrec, and P. Chevaillier, PEGASE: A generic and adaptable intelligent system for virtual reality learning environments, International Journal of Virtual Reality (IJVR), vol.9, issue.2, p.7385, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00783686

C. Buche, P. Chevaillier, A. Nédélec, M. Parenthoën, and J. Tisseau, Fuzzy cognitive maps for the simulation of individual adaptive behaviors, Computer Animation and Virtual Worlds, vol.14, issue.6, p.573587, 2010.
DOI : 10.1002/cav.363
URL : https://hal.archives-ouvertes.fr/hal-00784574

T. , T. Hai, C. Buche, R. Querrec, and J. Tisseau, Modeling of errors realized by a human learner in virtual environment for training, International Journal of Computers Communications & Control (IJCCC), vol.IV, issue.1, p.7381, 2009.

C. Bossard, G. Kermarrec, C. Buche, and J. Tisseau, Transfer of training in virtual environments: A new challenge, Virtual Reality, issue.12, p.151161, 2008.

C. Buche, R. Querrec, P. Chevaillier, and G. Kermarrec, Apports des systèmes tutoriaux intelligents et de la réalité virtuelle à l'apprentissage de compétences, Cognito Cahiers Romans de Sciences Cognitives (CRSC), p.5183, 2006.

C. Buche, R. Querrec, P. De-loor, and P. Chevaillier, MASCARET : A pedagogical multi-agent system for virtual environment for training, International Journal of Distance Education Technologies (JDET), vol.2, issue.4, p.4161, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00611281

R. Querrec, C. Buche, E. Mare, and P. Chevaillier, Multiagents systems for virtual environment for training. application to re-ghting National journals, International Journal of Computers and Applications (IJCA), vol.1, issue.1, p.2534, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00019920

D. Pasco, C. Bossard, C. Buche, and G. Kermarrec, Utiliser les jeux vidéos actifs pour promouvoir l'activité physique (une revue de litt¯ature), Sport Science Review, XIX, pp.5-67793, 2010.

C. Buche, R. Querrec, P. De-loor, P. Chevaillier, and J. Tisseau, PEGASE, un syst??me tutoriel intelligent g??n??rique et adaptatif en environnement virtuel, Revue des Sciences et Technologies de l'Information, série Techniques et Sciences Informatiques (RSTI TSI), p.2810511076, 2009.
DOI : 10.3166/tsi.28.1051-1076

C. Buche, C. Septseault, and P. De-loor, Les syst??mes de classeurs. Une pr??sentation g??n??rale, Revue des Sciences et Technologies de l'Information, série Techniques et Sciences Informatiques (RSTITSI), p.963990, 2006.
DOI : 10.3166/tsi.25.963-990

C. Buche, C. Septseault, and P. De-loor, Proposition d'un mod??le g??n??rique pour l'impl??mentation d'une famille de syst??mes de classeurs, Revue des Sciences et Technologies de l'Information, série Intelligence Articielle (RSTIRIA), p.6388, 2006.
DOI : 10.3166/ria.20.63-88

J. Tisseau, M. Parenthoën, C. Buche, and P. Reignier, Comportements perceptifs d'acteurs virtuels autonomes. une application aux cartes cognitives oues, Revue des Sciences et Technologies de l'Information, série Techniques et Sciences Informatiques (RSTITSI), p.2412591293, 2005.
DOI : 10.3166/tsi.24.1259-1293
URL : https://hal.archives-ouvertes.fr/hal-00019922

R. Querrec, C. Buche, F. Lecorre, and F. Harrouet, Agent Metamodel for Virtual Reality Applications, 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11), p.8190, 2011.
DOI : 10.1007/978-3-642-22732-5_8
URL : https://hal.archives-ouvertes.fr/hal-00784317

C. Buche and P. De-loor, Generic model for experimenting and using a family of classiers systems: description and basic applications, International Conference on Articial Intelligence and Soft Computing (ICAISC'10), Part I, LNCS/LNAI 6113, p.299306, 2010.

F. Tence, C. Buche, P. De-loor, and O. Marc, The challenge of believability in video games: Denitions, agents models and imitation learning, Wenji Mao and Lode Vermeersch 2nd Asian Conference on Simulation and AI in Computer Games (GAMEON-ASIA'10), p.3845, 2010.

F. Tence, C. Buche, P. De-loor, and O. Marc, Learning a representation of a believable virtual character's environment with an imitation algorithm, First annual Pan-Arabic International Conference on Intelligent Games and Simulation (GAMEON-ARABIA'10), p.141145, 2010.

F. Tence and C. Buche, Automatable evaluation method oriented toward behaviour believability for video games, International Conference on Intelligent Games and Simulation (GAMEON'08), p.3943, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00514539

T. , T. Hai, C. Buche, and J. Tisseau, Modeling of errors realized by a learner in virtual environment for training, International Conference on Virtual Learning (ICVL'08), p.7180, 2008.

C. Buche and R. Querrec, Intelligent tutoring system for MASCARET, th virtual reality international conference (VRIC'05), p.105108, 2005.

C. Buche, R. Querrec, and P. De-loor, Système tutoriel intelligent pour l'apprentissage de travail procedural et collaboratif, Troisièmes journées francophones Modèle Formels de l'Interaction (MFI'05), p.205210, 2005.

C. Buche, R. Querrec, and C. L. Gall, Intelligent tutoring system for procedural and collaborative training, th World Conference on Computers in Education (WCCE'05)

C. Buche and R. Querrec, Simulate pedagogical reasoning in a virtual environment for training, International Conference on Computers and Advanced Technology for Education (CATE'05), p.183187, 2005.

D. M. Popovici, C. Buche, R. Querrec, and F. Harrouet, An Interactive Agent-Based Learning Environment for Children, 2004 International Conference on Cyberworlds, p.233240, 2004.
DOI : 10.1109/CW.2004.20

C. Buche, R. Querrec, P. De-loor, and P. Chevaillier, MASCARET : Pedagogical multi-agents system for virtual environment for training, International Conference on Cyberworlds (CW'03), p.423430, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00610857

C. Buche, R. Querrec, E. Mare, P. Chevaillier, and P. De-loor, MASCARET: multiagent system for virtual environment for training, th virtual reality international conference (VRIC'03), p.159164, 2003.
DOI : 10.1109/cyber.2003.1253485
URL : https://hal.archives-ouvertes.fr/hal-00611187

R. Querrec, C. Buche, E. Mare, and P. Chevaillier, Multiagents systems for virtual environnement for training, International Conference on Computers and Advanced Technology in Education (CATE'03), p.647652, 2003.

R. Querrec, C. Buche, E. Mare, and P. Chevaillier, SécuRéVi : virtual environments for re-ghting training, 5 th virtual reality international conference (VRIC'03), p.169175, 2003.

C. Buche, M. Parenthoën, and J. Tisseau, Learning by imitation of behaviors for autonomous agents, 3 rd International Conference on Intelligent Games and Simulation (GAME-ON'02), p.8993, 2002.

M. Parenthoën, C. Buche, and J. Tisseau, Action learning for autonomous virtual actors

R. V. In, A. Mayorga, and . Segovia-de-los-ríosamokrane, Hera: Learner tracking in a virtual environment, 3 rd International Symposium on Robotics and Automation (ISRA'02), p.5495542330, 2002.

R. Axelrod, Structure of decision, 1976.

J. Bates, The nature of characters in interactive worlds and the Oz project, 1992.

H. Bergson, Matière et mémoire, 1896.
DOI : 10.1522/cla.beh.mat

A. Berthoz, Le sens du mouvement, 1997.

A. Berthoz, La décision, 2003.

. Bossard, An exploratory evaluation of virtual football player's believability, 2009.

R. Brooks, Elephants don't play chess, Robotics and Autonomous Systems, vol.6, issue.1-2, p.315, 1990.
DOI : 10.1016/S0921-8890(05)80025-9
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.6657

C. Brunia, Neural aspects of anticipatory behavior, Acta Psychologica, vol.101, issue.2-3, p.213242, 1999.
DOI : 10.1016/S0001-6918(99)00006-2

M. Bryant, B. Bryant, and R. Miikkulainen, Evolving Stochastic Controller Networks for Intelligent Game Agents, 2006 IEEE International Conference on Evolutionary Computation, p.37523759, 2006.
DOI : 10.1109/CEC.2006.1688419

. Buche, PE- GASE: A generic and adaptable intelligent system for virtual reality learning environments, International Journal of Virtual Reality (IJVR), vol.9, issue.2, p.7385, 2010.

. Buche, Fuzzy cognitive maps for the simulation of individual adaptive behaviors, Computer Animation and Virtual Worlds (CAVW). [WoS], 2010.
DOI : 10.1002/cav.363
URL : https://hal.archives-ouvertes.fr/hal-00784574

D. Buche, C. Loor-]-buche, D. Loor, and P. , Generic model for experimenting and using a family of classiers systems: description and basic applications, International Conference on Articial Intelligence and Soft Computing (ICAISC'10 Part I, LNCS/LNAI 6113, p.299306, 2010.

. Buche, Simulation theory and anticipation as a basis for interactive virtual character in an uncertain world. application to a human-virtual characters interaction for juggling, Computer Animation and Social Agents (CASA'11) Special Issue, p.133139, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00784572

. Buche, Learning by imitation of behaviors for autonomous agents, 2002.

. Buche, C. Querrec-]-buche, and R. Querrec, An expert system manipulating knowledge to help human learners into virtual environment, Expert Systems with Applications, vol.38, issue.7, p.3884468457, 2011.
DOI : 10.1016/j.eswa.2011.01.040
URL : https://hal.archives-ouvertes.fr/hal-00784564

. Buche, Les syst??mes de classeurs. Une pr??sentation g??n??rale, Revue des Sciences et Technologies de l'Information, série Techniques et Sciences Informatiques (RSTITSI), p.963990, 2006.
DOI : 10.3166/tsi.25.963-990

. Buche, Proposition d'un mod??le g??n??rique pour l'impl??mentation d'une famille de syst??mes de classeurs, Revue des Sciences et Technologies de l'Information, série Intelligence Articielle (RSTIRIA), p.6388, 2006.
DOI : 10.3166/ria.20.63-88

. Butz, L. Pelikan, E. D. Goodman, A. Wu, W. Langdon et al., Analyzing the evolutionary pressures in xcs, Genetic and Evolutionary Computation Conference (GECCO'01), p.935942, 2001.

. Butz, . Wilson, M. Butz, and W. Wilson, An algorithmic description of xcs, Journal of Soft Computing, vol.6, issue.34, p.144153, 2002.

. Butz, Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior, LNCS 2684 : Anticipatory Behavior in Adaptive Learning Systems, p.112, 2003.
DOI : 10.1007/978-3-540-45002-3_1

. Butz, Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems, LNCS 4520 : Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, p.118, 2007.
DOI : 10.1007/978-3-540-74262-3_1
URL : https://hal.archives-ouvertes.fr/hal-01311570

G. Calais, Fuzzy cognitive maps theory: Implications for interdisciplinary reading: National implications, FOCUS On Colleges, vol.2, 2008.

A. Cardon, Conscience articielle et systèmes adaptatifs, 1999.

L. Carver, M. Carver, and V. Lesser, Evolution of blackboard control architectures, Expert Systems with Applications, vol.7, issue.1, 1992.
DOI : 10.1016/0957-4174(94)90023-X

S. Cass, Mind games, IEEE Spectrum, vol.39, issue.12, p.4044, 2002.

. Cavazza, Characters in Search of an Author: AI-Based Virtual Storytelling, Virtual Storytelling, International Conference ICVS 2001, number 2197 in LNCS, p.145154, 2001.
DOI : 10.1007/3-540-45420-9_16

. Cavazza, Interactive storytelling: from AI experiment to new media, ICEC '03: Proceedings of the second international conference on Entertainment computing, p.18, 2003.

B. Draa, Causal maps: theory, implementation, and practical applications in multiagent environments, IEEE Transactions on Knowledge and Data Engineering, issue.6, p.1412011217, 2002.

R. Cli, D. Cli, and S. Ross, Adding Temporary Memory to ZCS, School of Cognitive and Computing Sciences, 1995.

R. Colwill, R. Colwill, and R. Rescorla, Postconditioning devaluation of a reinforcer aects instrumental responding, Journal of experimental psychology. Animal behavior processes, vol.11, issue.1, p.120132, 1985.

. Cornuéjols, Apprentissage articiel: concepts et algorithmes, 2002.

G. Cybenko, Approximation by superpositions of a sigmoidal function, Mathematics of Control, Signals and Systems, vol.2, p.303314, 1989.

P. Davidsson, A Framework for Preventive State Anticipation, 2003.
DOI : 10.1007/978-3-540-45002-3_9

D. Loor, P. Chevaillier, and P. , Solving distributed and dynamic constraints using an emotional metaphor: Application to the timetabling problem, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00609025

. De-loor, Enaction-based articial intelligence: Toward co-evolution with humans in the loop, Minds and Machines, vol.19, issue.3, p.319343, 2009.

D. Bimbo, V. Bimbo, A. Vicario, and E. , Specication by example of virtual agents behavior, IEEE Transactions on Visualization and Computer Graphics, vol.1, issue.4, p.350360, 1995.

. Dempster, Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society. Series B (Methodological), vol.39, issue.1, p.138, 1977.

P. Di, I. Paolo, E. Iizuka, and H. , How (not) to model autonomous behaviour, 2007.

K. Dickerson, J. Dickerson, and B. Kosko, Virtual Worlds as Fuzzy Cognitive Maps, Presence, vol.3, issue.2, p.173189, 1994.

B. Dorigo, M. Dorigo, and H. Bersini, A Comparison of Q-Learning and Classier Systems, From Animals to Animats 3: Third International Conference on Simulation of Adaptive Behavior (SAB94), p.248255, 1994.

. Dufossé, Postural forearm changes induced by predictable in time or voluntary triggered unloading in man, Experimental Brain Research, vol.60, issue.2, p.330334, 1985.
DOI : 10.1007/BF00235928

. Edward, Modelling autonomous virtual agent behaviours in a virtual environment for risk, IJVR : International Journal of Virtual Reality, vol.7, issue.3, p.1322, 2008.

N. El-kechaï and C. Després, A Plan Recognition Process, Based on a Task Model, for Detecting Learner???s Erroneous Actions, Intelligent Tutoring Systems, p.329338, 2006.
DOI : 10.1007/11774303_33

G. Florez-larrahondo-florez-larrahondo, Incremental learning of discrete hidden Markov models, 2005.

B. Fritzke, A growing neural gas network learns topologies, Advances in Neural Information Processing Systems 7, p.625632, 1995.

. Fuchs, Le traité de la réalité virtuelle, 2001.

V. Gallese, The inner sense of action: agency and motor representations, Journal of Consciousness Studies, vol.7, issue.10, p.2340, 2000.

. Gaussier, From perception-action loops to imitation process: a bottom-up approach of learning by imitation, Applied Articial Intelligence, vol.12, issue.7, p.701727, 1998.

. Gérard, YACS: a new learning classifier system using anticipation, Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol.6, issue.3-4, 2002.
DOI : 10.1007/s005000100117

J. Gibson, The ecological approach to visual perception, 1979.

D. Goldberg, Search, Optimization and Machine Learning, chapter Genetic Algorithms, 1989.

H. Gorman, B. Gorman, and M. Humphrys, Imitative learning of combat behaviours in rst-person computer games, Proceedings of CGAMES 2007, the 11th International Conference on Computer Games: AI, Animation, Mobile, Educational & Serious Games, 2007.

. Groom, Evaluating the eects of behavioral realism in embodied agents, International Journal of Human-Computer Studies, issue.10, p.67842849, 2009.

V. Hafner, Learning places in newly explored environments, SAB2000 Proceedings Supplement Book, Publication of the International Society for Adaptive Behavior, 2000.

M. Hagiwara, Extended fuzzy cognitive maps, [1992 Proceedings] IEEE International Conference on Fuzzy Systems, 1992.
DOI : 10.1109/FUZZY.1992.258761

F. Hayes, P. Hayes, and K. Ford, Turing test considered harmful, International Joint Conference on Articial Intelligence, p.972977, 1995.

D. Hebb, The Organization of Behaviour, 1949.

. Heguy, GXCS: A generic classier system and its application in a real time cooperative behavior simulations, International Symposium and School on Advanced Distribued System (ISADS'02), 2002.

D. Held, R. Held, and N. Durlach, Telepresence, time delay and adaptation. Pictorial communication in virtual and real environments, p.232246, 1991.

. Herviou, D. Herviou, and E. Maisel, ARéViRoad : a virtual reality tool for trac simulation, Proceedings of Urban Transport, p.297306, 2006.

G. Hesslow, Conscious thought as simulation of behaviour and perception, Trends in Cognitive Sciences, vol.6, issue.6, p.242247, 2002.
DOI : 10.1016/S1364-6613(02)01913-7

. Ho, Human emotion and the uncanny valley, Proceedings of the 3rd international conference on Human robot interaction , HRI '08, 2008.
DOI : 10.1145/1349822.1349845

J. Homann, Anticipatory Behavioral Control, Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems, 2003.

. Homann, Explorations of anticipatory behavioral control (abc): A report from the cognitive psychology unit of the university of waburg, Cognitive Processing, p.133142, 2007.

R. Holland, J. Holland, and J. Reitman, Cognitive systems based on adaptive algorithms, Pattern-directed inference systems, 1978.
DOI : 10.1145/1045343.1045373

. Holland and J. H. Holland, Adaptation in Natural and Artifcial Systems, 1975.

J. H. Holland, Properties of the bucket brigade algorithm, Proc. of the International Conference on Genetic Algorithms and Their Applications, p.17, 1985.

J. H. Holland, Escaping brittleness: The possibilities of generalpurpose learning algorithms applied to parallel rule-based systems, Machine Learning: An Articial Intelligence Approach, p.593623, 1986.

R. Hubal, Embodied tutors for interaction skills simulation training, IJVR : International Journal of Virtual Reality, vol.7, issue.1, p.18, 2008.

. Hugon, Anticipatory postural changes induced by active unloading and comparison with passive unloading in man, Pfl???gers Archiv European Journal of Physiology, vol.6, issue.4, p.292296, 1982.
DOI : 10.1007/BF00581412

D. Isla, The virtual hippocampus : spatial common sense for synthetic creatures, 2001.

. Johansson, B. Balkenius-]-johansson, and C. Balkenius, An Experimental Study of Anticipation in Simple Robot Navigation. Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, 2007.

. Julliard, . Gibet, F. Julliard, and S. Gibet, Reactiva???Motion Project: Motion Synthesis Based on a Reactive Representation, GW '99: Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction, p.265268, 1999.
DOI : 10.1007/3-540-46616-9_23

. Kallmann, M. Thalmann-]-kallmann, and D. Thalmann, Modeling Objects for Interaction Tasks, Proceedings of Computer Animation and Simulation'98, p.7386, 1998.
DOI : 10.1007/978-3-7091-6375-7_6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.2988

. Klesen, The Black Sheep: Interactive Improvisation in a 3D Virtual World, I3, p.7780, 2000.

. Kosko and B. Kosko, Fuzzy cognitive maps, International Journal of Man-Machine Studies, vol.24, issue.1, p.6575, 1986.
DOI : 10.1016/S0020-7373(86)80040-2

B. Kosko, Hidden Patterns in Combined and Adaptative Knowledge Networks, International Journal of Approximate Reasoning, vol.2, p.337393, 1988.

. Koulouriotis, Eciently Modeling and Controlling Complex Dynamic Systems using Evolutionary Fuzzy Cognitive Maps, International Journal of Computational Cognition, vol.1, issue.2, p.4165, 2003.

. Kunde, The impact of anticipated action eects on action planning, Acta Psychologica, vol.109, issue.2, p.137155, 2002.

. Kunde, Anticipated action effects aect the selection, initiation, and execution of actions, The Quarterly Journal of Experimental Psychology Section A, vol.57, issue.1, p.87106, 2004.

V. Labbé and O. Sigaud, Anticipation of periodic movements in real time 3d environments, Anticipatory Behavior in Adaptive Learning Systems, 2004.

. Labbé, . Sigaud, V. Labbé, and O. Sigaud, Anticipation of Periodic Movements in Real Time 3D Environments, Proceedings of the ABiALS 2004 Workshop, 2004.

S. Lahlou, Human activity modeling for systems design: A transdisciplinary and empirical approach, p.512521, 2007.

D. Laird, J. Laird, and J. Duchi, Creating human-like synthetic characters with multiple skill levels: a case study using the Soar Quakebot, Simulating Human Agents, Papers from the 2000 AAAI Fall Symposium, p.7579, 2000.

J. E. Laird, It knows what you're going to do, Proceedings of the fifth international conference on Autonomous agents , AGENTS '01, p.385392, 2001.
DOI : 10.1145/375735.376343

. Lanzi, . Colombetti, P. Lanzi, and M. Colombetti, An extension to the XCS classier system for stochastic environments, Genetic and Evolutionary Computation Conference, p.353360, 1999.

. Lanzi, . Wilson, P. Lanzi, and S. Wilson, Optimal classier system performance in non-Markov environments, 1999.

. Laroque, Abstract, Paladyn, Journal of Behavioral Robotics, vol.1, issue.1, 2010.
DOI : 10.2478/s13230-010-0004-2

[. Hy and R. , Programmation et apprentissage bayésien de comportements pour des personnages synthétiques, application aux personnages de jeux vidéos, 2007.

P. Levesque, Creation and use of 3d as-built models at EDF, 2003.

K. Lewin, Principles of topological psychology, 1936.
DOI : 10.1037/10019-000

D. Livingstone, Turing's test and believable AI in games, Computers in Entertainment, vol.4, issue.1, p.6, 2006.
DOI : 10.1145/1111293.1111303

A. B. Loyall, Believable agents: building interactive personalities, 1997.

[. Namee and B. , Proactive persistent agents: using situational intelligence to create support characters in character-centric computer games, 2004.

[. Namee and B. , Proactive Persistent Agents: Using Situational Intelligence to Create Support characters in Character-Centric Computer Games, 2004.

P. Maes, The dynamics of action selection, Proceedings of the international Joint Conference on Articial Intelligence, IJCAI'89, 1989.

D. Manach, . Loor, K. Manach, D. Loor, and P. , Guiding for Associative Learning: How to Shape Artificial Dynamic Cognition, ECAL: 10th European Conference on Articial Life. LNCS/LNAI 5777, p.5778, 2009.
DOI : 10.1007/978-3-540-74913-4_114
URL : https://hal.archives-ouvertes.fr/hal-00441128

. Marion, GASPAR : Aviation Management on an Aircraft Carrier Using Virtual Reality, 2007 International Conference on Cyberworlds (CW'07), p.1522, 2007.
DOI : 10.1109/CW.2007.26

M. Mateas, An Oz-Centric Review of Interactive Drama and Believable Agents, Lecture Notes in Computer Science, vol.9, issue.1, p.1600297343, 1999.
DOI : 10.1145/365153.365168

M. Matteucci, Fuzzy learning classier system: Issues and architecture, 1999.

A. Meltzo, Understanding the intentions of others: re-enactement of intended acts by 18-month-old children, Developmental Psychology, vol.31, p.838850, 1995.

. Multon, Human motion coordination: a juggler as an example. The Visual Computer, p.91105, 2001.

. Nédélec, Emotions, Personality and Social Interactions Modelling in a Multiagent Environment, Proceedings of CASA 2005, p.103108, 2005.

S. Norman, D. Norman, and T. Shallice, Attention to Action, p.118, 1986.
DOI : 10.1007/978-1-4757-0629-1_1

G. Papageorgiou, E. I. Papageorgiou, and P. P. Groumpos, A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps, Applied Soft Computing, vol.5, issue.4, p.409431, 2005.
DOI : 10.1016/j.asoc.2004.08.008

. Parenthoën, Believable decision for virtual actors, IEEE International Conference on Systems, Man and Cybernetics, pp.2-3, 2002.
DOI : 10.1109/ICSMC.2002.1176023

. Pezzulo, Anticipation and anticipatory behavior, Cognitive Processing, vol.8, issue.2, p.6770, 2007.

D. Pinchbeck, Trigens can't swim: intelligence and intentionality in rst person game worlds, Proceedings of The Philosophy of Computer Games, 2008.

B. Pomerol, J. Pomerol, and P. Brézillon, About Some Relationships between Knowledge and Context, Modeling and Using Context: Third International and Interdisciplinary Conference, p.461464, 2001.
DOI : 10.1007/3-540-44607-9_44

. Querrec, Agent Metamodel for Virtual Reality Applications, 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11), p.8190, 2011.
DOI : 10.1007/978-3-642-22732-5_8
URL : https://hal.archives-ouvertes.fr/hal-00784317

. Querrec, Multiagents systems for virtual environment for training. application to re-ghting, International Journal of Computers and Applications (IJCA), vol.1, issue.1, p.2534, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00019920

E. Reed, The intention of the use a specic aordance: A conceptual framework for psychology, Development in context, acting and thinking in specic environment, p.4576, 1993.

J. F. Richard, Les activités mentales : Comprendre, Raisonner, Trouver des solutions, 1990.

J. Rickel, J. Rickel, and W. L. Johnson, Animated agents for procedural training in virtual reality: Perception, cognition, and motor control, Applied Artificial Intelligence, vol.13, issue.4-5, 1999.
DOI : 10.1080/088395199117315

R. Young, An objective character believability evaluation procedure for multi-agent story generation systems, Intelligent Virtual Agents, p.278291, 2005.

A. Riegler, The role of anticipation in cognition, AIP Conference Proceedings, p.534541, 2001.
DOI : 10.1063/1.1388719

. Rizzolatti, Premotor cortex and the recognition of motor actions, Cognitive Brain Research, vol.3, issue.2, p.131141, 1996.
DOI : 10.1016/0926-6410(95)00038-0

R. Rosen, Anticipatory systems, 1985.

. Rumelhart, D. Mcclelland-]-rumelhart, and J. Mcclelland, Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations (Parallel Distributed Processing, 1986.

N. Rummery, G. A. Rummery, and M. Niranjan, On-line q-learning using connectionist systems, 1994.

J. L. Salmeron, Augmented fuzzy cognitive maps for modelling lms critical success factors. Knowledge-Based Systems, p.275278, 2009.

. Sanza, Evolution and cooperation of virtual entities with classier systems, Eurographic Workshop on Computer Animation and Simulation, 2001.

. Schultz, Roboshepherd: Learning a Complex Behavior, 1996.

J. Searle, Minds, brains, and programs. The behavioral and brain sciences, p.353382, 1980.

W. Sigaud, O. Sigaud, and S. W. Wilson, Learning classier systems: A survey, Journal of Soft Computing, issue.11, p.1110651078, 2007.

J. Simaõ, Aperiodic (Chaotic) Behavior in RNN with Homeostasis as a Source of Behavior Novelty: Theory and Applications, Recurrent Neural Networks, 2008.
DOI : 10.5772/5546

C. Simons, D. Simons, and C. Chabris, Gorillas in our midst: sustained inattentional blindness for dynamic events. perception, p.10591074, 1999.

. Siraj, Fuzzy cognitive maps for decision support in an intelligent intrusion detection system, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001.
DOI : 10.1109/NAFIPS.2001.944405

. Slater, Taking steps: the influence of a walking technique on presence in virtual reality, ACM Transactions on Computer-Human Interaction, vol.2, issue.3, p.201219, 1995.
DOI : 10.1145/210079.210084

S. F. Smith, A Learning System Based on Genetic Adaptive Algorithms, 1980.

J. Steuer, Dening virtual reality: dimensions determining telepresence, Journal of Communication, vol.42, issue.4, p.7393, 1992.
DOI : 10.1111/j.1460-2466.1992.tb00812.x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.5821

W. Stolzmann, Anticipatory classier systems, Third Annual Genetic Programming Conference, p.658664, 1998.

. Stylios, The use of fuzzy cognitive maps in modeling systems, 5th IEEE Mediterranean Conference on Control and Systems, Paphos. paper 67 (CD-ROM), 1997.

G. Stylios, C. Stylios, and P. Groumpos, Fuzzy cognitive map in modeling supervisory control systems, Journal of Intelligent & Fuzzy Systems, vol.8, p.8398, 2000.
DOI : 10.1007/978-0-387-35390-6_12

N. Sugeno, M. Sugeno, and M. Nishida, Fuzzy Control of a Model Car. Fuzzy Sets and Systems, p.103113, 1985.

R. S. Sutton, Temporal Credit Assignement in Reinforcement Learning, 1984.

R. S. Sutton, Learning to predict by the methods of temporal differences, Machine Learning, p.944, 1988.
DOI : 10.1007/BF00115009

R. Taber, Knowledge processing with Fuzzy Cognitive Maps, Expert Systems with Applications, vol.2, issue.1, p.8387, 1991.
DOI : 10.1016/0957-4174(91)90136-3

. Takadama, Can multiagents learn in organization? analyzing organizational learning-oriented classier system, 1999.

B. Tence, F. Tence, and C. Buche, Automatable evaluation method oriented toward behaviour believability for video games, International Conference on Intelligent Games and Simulation, p.3943, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00514539

. Tence, The challenge of believability in video games: Denitions, agents models and imitation learning, 2nd Asian Conference on Simulation and AI in Computer Games (GAMEON-ASIA'10), p.3845, 2010.

. Tence, Learning a representation of a believable virtual character's environment with an imitation algorithm, 2010.

[. Hai, Modeling of errors realized by a human learner in virtual environment for training, International Journal of Computers Communications & Control, issue.1, p.7381, 2009.

J. Thomas, F. Thomas, and O. Johnston, Disney animation: the illusion of life, 1981.

. Thurau, Learning humanlike movement behavior for computer games, Proceedings of the 8th International Conference on the Simulation of Adaptive Behavior, 2004.

. Thurau, Is bayesian imitation learning the route to believable gamebots, GAMEON-NA'2005, p.39, 2005.

J. Tisseau, Réalité virtuelle : autonomie in virtuo, 2001.

J. Tisseau, Réalité virtuelle et complexité, expérimentation in virtuo des systèmes complexes, 2004.

H. Tisseau, J. Tisseau, and F. Harrouet, Le traité de la réalité virtuelle, 2003.

. Tisseau, Comportements perceptifs d'acteurs virtuels autonomes, une application aux cartes cognitives oues. Revue des Sciences et Technologies de l'Information, série Techniques et Sciences Informatiques (RSTITSI), p.2412591293, 2005.
DOI : 10.3166/tsi.24.1259-1293
URL : https://hal.archives-ouvertes.fr/hal-00019922

E. Tolman, Cognitive maps in rats and men., Psychological Review, vol.55, issue.4, p.189208, 1948.
DOI : 10.1037/h0061626

E. Tolman, Principles of purposive behavior. Psychology: A Study of a Science, 1959.

. Tomlinson, . Bull, A. Tomlinson, and L. Bull, A zeroth level corporate classier system, Second International Workshop on Learning Classier Systems, 1999.

. Turing and A. Turing, Computing machinery and intelligence, p.59433460, 1950.
DOI : 10.1007/978-1-4020-6710-5_3

R. M. Turner, Context-sensitive reasoning for autonomous agents and cooperative distributed problem solving, Proceedings of the IJCAI Workshop on Using Knowledge in its Context, p.141151, 1993.

M. Urbanowicz, R. Urbanowicz, and J. Moore, Learning classier systems: A complete introduction, review, and roadmap, Journal of Articial Evolution and Applications, p.25, 2009.

. Van-valen and L. Van-valen, A new evolutionary law, Evolutionary Theory, vol.1, issue.1, p.130, 1973.

. Van-welbergen, Real time character animation: A trade-o between naturalness and control, Eurographics -State-of-the-Art-Report, p.4572, 2009.

. Vaughan, Experiments in automatic flock control, Robotics and Autonomous Systems, vol.31, issue.1-2, p.109117, 2000.
DOI : 10.1016/S0921-8890(99)00084-6

. Voyles, Towards gesture-based programming: shape from motion primordial learning of sensorimotor primitives, Robotics and Autonomous Systems, vol.22, issue.3-4, pp.3-4361375, 1997.
DOI : 10.1016/S0921-8890(97)00048-1

C. J. Watkins, Learning from Delayed Rewards, 1989.

E. Wenger, Articial Intelligence and Tutoring Systems, 1987.

F. Wenstop, Deductive verbal models of organizations, International Journal of Man-Machine Studies, vol.8, issue.3, p.293311, 1976.
DOI : 10.1016/S0020-7373(76)80002-8

B. Wetzel, Step one: Document the problem, Challenges in Game Articial Intelligence: Papers from the 2004 AAAI Workshop, p.1115, 2004.

Z. William, R. William, and D. Zipser, Gradient-based Learning Algorithms for Recurrent Networks and their Computational Complexity, Backpropagation: Theory, Architechtures and Applications, p.433486, 1995.

S. W. Wilson, Hierarchical credit allocation in a classier system, 10 th International Joint Conferences on Articial Intelligence (IJCAI'87), p.217220, 1987.

W. Wilson, ZCS: A Zeroth Level Classifier System, Evolutionary Computation, vol.2, issue.6, p.118, 1994.
DOI : 10.1177/105971239200100104

W. Wilson, Classier Fitness Based on Accuracy, Evolutionary Computation, vol.3, issue.2, p.149175, 1995.
DOI : 10.1162/evco.1995.3.2.149
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.2210

W. Wilson, Explore/exploit strategies in autonomy, From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior (SAB96), p.325332, 1996.

W. Wilson, Get Real! XCS with Continuous-Valued Inputs, Lecture Notes in Computer Science, p.209219, 1813.
DOI : 10.1007/3-540-45027-0_11
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.9817

Y. , T. Yu, Q. Terzopoulos, and D. , A decision network framework for the behavioral animation of virtual humans, SCA '07: Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation, p.119128, 2007.