How Evolution May Work Through Curiosity-Driven Developmental Process

• Published in: Topics in cognitive science Vol. 8; no. 2; pp. 492 - 502
• Main Authors: Oudeyer, Pierre-Yves, Smith, Linda B.
• Format: Journal Article
• Language: English
• Published: United States Blackwell Publishing Ltd 01.04.2016; Wiley Subscription Services, Inc; Wiley
• Subjects: Artificial Intelligence; Child Development; Cognitive science; Computer Science; Curiosity; Development; Epigenesis, Genetic; Evolution; Evolution, Molecular; Exploratory Behavior - physiology; Humans; Infant; Infant active learning; Learning - physiology; Motor development; Origins of language; Robotic modelling; Robotics; Robots; Self-organization; Speech development; Motor development; Speech development; Curiosity; Development; Evolution; Infant active learning; Robotic modelling; Origins of language; Self-organization; Self- organization
• ISSN: 1756-8757; 1756-8765
• DOI: 10.1111/tops.12196

Infants' own activities create and actively select their learning experiences. Here we review recent models of embodied information seeking and curiosity‐driven learning and show that these mechanisms have deep implications for development and evolution. We discuss how these mechanisms yield self‐organized epigenesis with emergent ordered behavioral and cognitive developmental stages. We describe a robotic experiment that explored the hypothesis that progress in learning, in and for itself, generates intrinsic rewards: The robot learners probabilistically selected experiences according to their potential for reducing uncertainty. In these experiments, curiosity‐driven learning led the robot learner to successively discover object affordances and vocal interaction with its peers. We explain how a learning curriculum adapted to the current constraints of the learning system automatically formed, constraining learning and shaping the developmental trajectory. The observed trajectories in the robot experiment share many properties with those in infant development, including a mixture of regularities and diversities in the developmental patterns. Finally, we argue that such emergent developmental structures can guide and constrain evolution, in particular with regard to the origins of language.