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Action rule induction from cause-effect pairs learned through robot-teacher interaction

Author
Agostini, A.G.; Celaya, E.; Torras, C.; Wörgötter , F.
Type of activity
Presentation of work at congresses
Name of edition
2008 International Conference on Cognitive Systems
Date of publication
2008
Presentation's date
2008
Book of congress proceedings
Proceedings of 2008 International Conference on Cognitive Systems
First page
213
Last page
218
Repository
http://hdl.handle.net/2117/17411 Open in new window
URL
http://www.cogsys2008.org/ Open in new window
Abstract
In this work we propose a decision-making system that efficiently learns behaviors in the form of rules using natural human instructions about cause-effect relations in currently observed situations, avoiding complicated instructions and explanations of long-run action sequences and complete world dynamics. The learned rules are represented in a way suitable to both reactive and deliberative approaches, which are thus smoothly integrated. Simple and repetitive tasks are resolved reactively, whil...
Citation
Agostini, A.G. [et al.]. Action rule induction from cause-effect pairs learned through robot-teacher interaction. A: International Conference on Cognitive Systems. "Proceedings of 2008 International Conference on Cognitive Systems". Karlsruhe: 2008, p. 213-218.
Keywords
intelligent robots learning (artificial intelligence) planning (artificial intelligence)
Group of research
KRD - Kinematics and Robot Design
ROBiri - IRI Robotics Group

Participants

  • Agostini, Alejandro Gabriel  (author and speaker )
  • Celaya Llover, Enric  (author and speaker )
  • Torras, Carme  (author and speaker )
  • Wörgötter, Florentin  (author and speaker )