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

Autor
Agostini, A.G.; Celaya, E.; Torras, C.; Wörgötter , F.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2008 International Conference on Cognitive Systems
Any de l'edició
2008
Data de presentació
2008
Llibre d'actes
Proceedings of 2008 International Conference on Cognitive Systems
Pàgina inicial
213
Pàgina final
218
Repositori
http://hdl.handle.net/2117/17411 Obrir en finestra nova
URL
http://www.cogsys2008.org/ Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
intelligent robots learning (artificial intelligence) planning (artificial intelligence)
Grup de recerca
KRD - Cinemàtica i Disseny de Robots
ROBiri - Grup de Robòtica de l'IRI

Participants