UTCS Artificial Intelligence
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.
The Constructivist Learning Architecture: A Model of Cognitive Development for Robust Autonomous Robots
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
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
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
Harold H. Chaput, In
Proceedings of the AAAI Spring Symposium Series on Grounded Knoweldge
, Palo Alto, CA 2001.
Concept and Schema Learning