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Intrinsic Motivation Systems for Autonomous Mental Development
2007
IEEE Transactions on Evolutionary Computation
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
doi:10.1109/tevc.2006.890271
fatcat:jdmhi667jvcxple2gnj4wlbaoa