Learning regularities with a constructivist agent

This paper presents an agent learning architecture based on the constructivist approach. After a brief introduction, we show details about the proposed model. Firstly, we explain how the agent represents the knowledge. We introduce an innovative learning method, inspired by the constructivist description of the human learning process. The kind of environment regularities that can be discovered by the method is analyzed. Finally, we discuss how an extension of this agent architecture can lead to the construction of abstract concepts.