Category-Based Intrinsic Motivation
Proceedings Of The Ninth International Conference On Epigenetic Robotics: Modeling Cognitive Development In Robotic Systems
Lund University Cognitive Studies
A goal of epigenetic robotics is to design a control architecture that implements an ongoing, autonomous developmental process which is unsupervised, unscheduled, and task-independent. The developmental process we are currently exploring contains three essential mechanisms: categorization, prediction, and intrinsic motivation. In this paper we describe a hybrid approach that uses Growing Neural Gas for categorization, neural networks for prediction, and Intelligent Adaptive Curiosity for intrinsic motivation. We apply this system to a physical robot operating in a dynamic visual environment and analyze the types of categories it forms.
L. Cañamero, P.-Y. Oudeyer, and C. Balkenius
9th International Conference On Epigenetic Robotics
November 12-14, 2009
Rachel M. Lee , '10; Ryan C. Walker , '10; Lisa A. Meeden; and J. Marshall.
"Category-Based Intrinsic Motivation".
Proceedings Of The Ninth International Conference On Epigenetic Robotics: Modeling Cognitive Development In Robotic Systems.
The proceedings for this conference are also freely available in their entirety.