Concept and Schema Learning

Description

An agent can truly understand the meaning of its knowledge structures, and utilize them most effectively, only if that knowledge is grounded on sensorimotor interactions with the world. We aim at building systems that learn such grounded representations, from basic causal concepts to high-level schemas of visual scenes.

Researchers

Harold Chaput, Jefferson Provost

Publications

For a list of publications related to Concept and Schema Learning, please visit the following site: cs.utexas.edu/users/nn/pages/publications/grounding.html