Intrinsic motivation systems for autonomous mental development

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Intrinsic motivation systems for autonomous mental development (2007)

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

Venue:	IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Citations:	255 - 56 self

BibTeX

@ARTICLE{Oudeyer07intrinsicmotivation,
    author = {Pierre-Yves Oudeyer and Frédéric Kaplan and Verena V. Hafner},
    title = {Intrinsic motivation systems for autonomous mental development},
    journal = {IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION},
    year = {2007},
    volume = {11},
    pages = {265--286}
}

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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

Keyphrases

intrinsic motivation system autonomous mental development exploratory activity computational system cognitive development curious situation active learning related research robot activity learning progress robot focus developmental psychology drive towards intelligent adaptive curiosity complex developmental sequence developmental robotics

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