Cognitive development in context: Learning to pay attention
Author
Editor
- Jochen Triesch
- Tony Jebara
- Gedeon Deák
Summary, in English
A developing system must be able to learn new things
without forgetting what it has learned before. It should be
capable of reacting in different ways to the same stimuli in different contexts. Context sensitive reinforcement learning, which parallels some of the functions of the basal ganglia, is a learning algorithm that fulfills this requirement when the context is explicitly given. Here, we extend the algorithm with the ability to identify the relevant features of the environment that defines the context. It is suggested that this is a critical component of an architecture for cognitive development and we present simulation results that illustrate the operation of the system.
without forgetting what it has learned before. It should be
capable of reacting in different ways to the same stimuli in different contexts. Context sensitive reinforcement learning, which parallels some of the functions of the basal ganglia, is a learning algorithm that fulfills this requirement when the context is explicitly given. Here, we extend the algorithm with the ability to identify the relevant features of the environment that defines the context. It is suggested that this is a critical component of an architecture for cognitive development and we present simulation results that illustrate the operation of the system.
Department/s
Publishing year
2004
Language
English
Pages
190-198
Publication/Series
Proceedings of the International Conference on Development and Learning 04
Document type
Conference paper
Publisher
The Salk Institute for Biological Studies
Topic
- Computer Vision and Robotics (Autonomous Systems)
- Learning
Status
Published
Project
- Ikaros: An infrastructure for system level modelling of the brain