We introduce the Self-Adaptive Goal Generation Robust Intelligent Adaptive Curiosity
(SAGG-RIAC) architecture as an intrinsically motivated goal exploration mechanism which …

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 …

This survey presents an overview of the autonomous development of mental capabilities in
computational agents. It does so based on a characterization of cognitive systems as …

The natural environment provides a flux of concurrent stimulation to all our senses, far more
than can be attended to at any given moment in time. Adults are exquisitely skilled at …

This position paper proposes that the study of embodied cognitive agents, such as
humanoid robots, can advance our understanding of the cognitive development of complex …

Affordances capture the relationships between a robot and the environment in terms of the
actions that the robot is able to perform. The notable characteristic of affordance-based …

This book addresses the central role played by development in cognition. The focus is on
applying our knowledge of development in natural cognitive systems, specifically human …

Highlights•Curious robots select actions to maximize intrinsic rewards that quantify learning
progress.•Curious robots exhibit emergence of infant-like exploration behaviors.•Open …

How does an individual use the knowledge acquired through self exploration as a
manipulable model through which to understand others and benefit from their knowledge …

Social interaction is an extremely complex yet vital component in daily life. We present a
bottom-up approach for the emergence of social behaviours from the interaction of the …