On the dynamics of robot exploration learning

Cognitive Systems Research

Volumn 3, Issue 3, 2002, Pages 459-470

  Tani, Jun ^a   Yamamoto, Jun ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Exploration; Learning; Robot

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BEHAVIOR; CONFUSION; CONTROLLED STUDY; EXPERIENCE; EXPERIMENTAL MODEL; LEARNING; LONG TERM MEMORY; MATHEMATICAL COMPUTING; MEMORY CONSOLIDATION; PRIORITY JOURNAL; REINFORCEMENT; REWARD; ROBOTICS; SHORT TERM MEMORY; TASK PERFORMANCE; TRAVEL;

EID: 2442449055     PISSN: 13890417     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1389-0417(02)00052-9     Document Type: Article

References (21)

1. Beer R. A dynamical systems perspective on agent-environment interaction Artificial Intelligence 72 1 1995 173-215
2. Holland J.H. Reitman J.S. Cognitive systems based on adaptive algorithms In Watermann D.A. Hayes-Roth F. (Eds.), Pattern directed inference systems 1978 Academic Press New York
3. Jordan M.I. Rumelhart D.E. Forward models: supervised learning with a distal teacher Cognitive Science 16 1992 307-354
4. Kawato M. Furukawa K. Suzuki R. A hierarchical neural network model for the control and learning of voluntary movement Biological Cybernetics 57 1987 169-185
5. Kuipers B. Byun Y. A robot exploration and mapping strategy based on a semantic hierarchy of spatial representation Journal of Robot an Autonomous Systems 8 1993 47-63
6. Mataric M. Integration of representation into goal-driven behavior-based robot IEEE Transactions on Robotics and Automation 8 3 1992 304-312
7. McClelland J.L. McNaughton B.L. O'Reilly R. Why there are complementary learning systems in the hippocampus and neocortex 1994 Carnegie Mellon University Technical report PDO.CNS.94.1
8. Pollack J. The induction of dynamical recognizers Machine Learning 7 1991 227-252
9. Rumelhart D. Hinton G. Williams R. Learning internal representations by error propagation In Rumelhart D.E. McClelland J.L. (Eds.), Parallel distributed processing 1986 MIT Press Cambridge, MA
10. Schmidhuber J. A possibility for implementing curiosity and boredom in model-building neural controllers In Meyer J.A. Wilson S.W. (Eds.), From animals to animats: proceedings of the first international conference on simulation of adaptive behavior 1991 222-227 MIT Press Cambridge, MA
11. Schoner G. Kelso J.A. Dynamic pattern generation in behavior and neural systems Science 239 1988 1513-1520
12. Taiji M. Ikegami T. Dynamics of internal models in game players Physica D 134 1999 253-266
13. Smith L. Thelen E. A dynamic systems approach to the development of cognition and action 1994 MIT Press Cambridge, MA
14. Squire L. Cohen N.J. Nadel L. The medial temporal region and memory consolidation: a new hypothesis In Weingartner H. Parker E. (Eds.), Memory consolidation 1984 185-210 Erlbaum Hillsdale, NJ
15. Tani J. Essential dynamical structure in a learnable autonomous robot Proceedings of the third European conference of artificial life (ECAL '95) 1995
16. Tani J. Model-based learning for mobile robot navigation from the dynamical systems perspective IEEE Transactions on Systems, Man and Cybernetics Part B 26 3 1996 421-436
17. Tani J. An interpretation of the 'self' from the dynamical systems perspective: a constructivist approach Journal of Consciousness Studies 5 5-6 1998 516-542
18. Thrun S.B. Moller K. Active exploration in dynamic environments Proceedings of NIPS vol. 4 1992 531-538
19. van Gelder T. Port R. It's about time: an overview of the dynamical approach to cognition In Port R. van Gelder T. (Eds.), Mind as motion 1995 1-44 MIT Press Cambridge, MA
20. Werbos P. A menu of designs for reinforcement learning over time In Miller W.T. Sutton R.S. Werbos P.J. (Eds.), Neural networks for control 1990 67-95 MIT Press Boston, MA
21. Yamauchi B.M. Beer R.D. Spatial learning for navigation in dynamic environment IEEE Transactions on Systems, Man and Cybernetics 26 3 1996