Intrinsic motivation systems for autonomous mental development

Intrinsic motivation systems for autonomous mental development (2007)

by Pierre-yves Oudeyer , Frédéric Kaplan , Verena V. Hafner

Venue:	IEEE Transactions on Evolutionary Computation
Citations:	81 - 25 self

Datum	Value	Source
TITLE	Intrinsic motivation systems for autonomous mental development	INFERENCE
AUTHOR NAME	Pierre-yves Oudeyer	SVM HeaderParse 0.2
AUTHOR NAME	Frédéric Kaplan	SVM HeaderParse 0.2
AUTHOR NAME	Verena V. Hafner	SVM HeaderParse 0.2
ABSTRACT	Abstract—Exploratory activities seem to be intrinsically rewarding for children and crucial for their cognitive development. Can a machine be endowed with such an intrinsic motivation system? This is the question we study in this paper, presenting a number of computational systems that try to capture this drive towards novel or curious situations. After discussing related research coming from developmental psychology, neuroscience, developmental robotics, and active learning, this paper presents the mechanism of Intelligent Adaptive Curiosity, an intrinsic motivation system which pushes a robot towards situations in which it maximizes its learning progress. This drive makes the robot focus on situations which are neither too predictable nor too unpredictable, thus permitting autonomous mental development. The complexity of the robot’s activities autonomously increases and complex developmental sequences self-organize without	SVM HeaderParse 0.2
YEAR	2007	INFERENCE
VENUE	IEEE Transactions on Evolutionary Computation	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	265--286	INFERENCE
VOLUME	11	INFERENCE
CITATIONS	73 found	ParsCit 1.0