CLA: The Constructivist Learning Architecture
Active from 1998 - 2004
The Constructivist Learning Architecture (CLA) is a model of infant cognitive development. This model is based on a constructivist information-processing approach to cognitive development, which postulates that Piagetic stages of development are a characteristic of infants' learning capabilities. The claim is that a single information processing mechanism can account for developmental change throughout development and across domain. CLA is implemented using a hierarchy of Self-Organizing Maps, in which higher-level maps learn patterns of activation in lower-level maps.
Publications
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots 2004
Harold H. Chaput, PhD Thesis, Department of Computer Sciences, The University of Texas at Austin. Also Technical Report TR-04-34.
Constructivist Learning: A Neural Implementation of the Schema Mechanism 2003
Harold H. Chaput, Benjamin Kuipers and Risto Miikkulainen, In Proceedings of WSOM '03: Workshop for Self-Organizing Maps, Kitakyushu, Japan 2003.
A Model Of Infant Causal Perception And Its Development 2001
Harold H. Chaput and Leslie B. Cohen, In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, pp. 182-187 2001.
Post-Piagetian constructivism for grounded knowledge acquisition 2001
Harold H. Chaput, In Proceedings of the AAAI Spring Symposium Series on Grounded Knoweldge, Palo Alto, CA 2001.
Related Areas
Cognitive Science Concept and Schema Learning Robotics
Labs
Neural Networks