UTCS Artificial Intelligence
courses
talks/events
demos
people
projects
publications
software/data
labs
areas
admin
Constructivist Learning: A Neural Implementation of the Schema Mechanism (2003)
Harold H. Chaput
, Benjamin Kuipers and
Risto Miikkulainen
Constructivist learning is a hierarchical part-to-whole learning system used by humans and desirable for use by robots. Current implementations are too resource-intensive to be used for anything but simple environments. In this paper, we reimplement one such system, the Schema Mechanism, using a hierarchy of self-organizing maps. The result is an efficient system for learning perceptual and action schemas that can be used in real-world applications like robotics.
View:
PDF
Citation:
In
Proceedings of WSOM '03: Workshop for Self-Organizing Maps
, Kitakyushu, Japan 2003.
Bibtex:
@inproceedings{chaput:wsom03, title={Constructivist Learning: A Neural Implementation of the Schema Mechanism}, author={Harold H. Chaput and Benjamin Kuipers and Risto Miikkulainen}, booktitle={Proceedings of WSOM '03: Workshop for Self-Organizing Maps}, address={Kitakyushu, Japan}, url="http://www.cs.utexas.edu/users/ai-lab?chaput:wsom03", year={2003} }
People
Harold H. Chaput
Ph.D. Alumni
hchaput [at] ea com
Risto Miikkulainen
Faculty
risto [at] cs utexas edu
Projects
CLA: The Constructivist Learning Architecture
1998 - 2004
Areas of Interest
Cognitive Science
Concept and Schema Learning
Robotics
Labs
Neural Networks