Autonomous mental development in high dimensional context and action spaces
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
On developmental mental architectures
Neurocomputing
Teaching a robot to perform tasks with voice commands
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Dynamic reward shaping: training a robot by voice
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
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A developmental cognitive learning architecture with a value system is proposed for an artificial agent to learn composite behaviors upon the acquisition of basic ones.This work is motivated by researches on classical conditioning in animal learning areas. Compared to former works, the proposed architecture enables an agent to conduct learning in unknown environments through online real-time experiences.All possible perceptions and actions, including even the actual number of classes, are not available until the programming is finished and the robot starts to learn in the real world. Experiments with our SAIL robot are reported to show how a trainer instructed (or shaped)the behaviors of the agent through verbal commands.