Grounding Language in Categorzation Concordia University 6 March 2003
The generality of categorization The power of propositions Acquiring categories by sensorimotor “toil” Acquiring categories by symbolic “theft” 22/09/2018 02:54:39 UQAM-CNC
Calibrating category-learning difficulty for the average 1-hour undergraduate experimental window . ( with R. Pevtzow) 22/09/2018 02:54:39 UQAM-CNC
Advancing from white-belt to brown-belt level Chicken-sexing with ( K. Livingston, J. Andrews) Biederman’s geon analysis Implicit vs. explicit learning 22/09/2018 02:54:39 UQAM-CNC
Categorical Perception (with S. Hanson, A. Tijsseling) (why is the rainbow not continuous shades of gray?) “warping” of similarity space Within-category compression and between-category separation 22/09/2018 02:54:39 UQAM-CNC
Sensorimotor Toil (with M. Fath-el-Bab, M. Sedgwick) ( “Smith/Jones” paradigm) trial-and-error learning with corrective feedback 22/09/2018 02:54:39 UQAM-CNC
Learners and non-learners Upper: learners Lower: non-learners 22/09/2018 02:54:39 UQAM-CNC
ERP activity changes during the course of learning Upper: learners Lower: non-learners Post-learning minus pre-learning 200-500 msec 500-800 msec 22/09/2018 02:54:39 UQAM-CNC
Analogous imaging results Gabrieli/Seger (Stanford) Categories based on prototypes “Smith/Jones” paradigm 22/09/2018 02:54:39 UQAM-CNC
Learning curves Using explicit symbolic rules (“theft”) vs. direct, implicit feature-detection (“toil”) Learners Non-learners +Rule (thick) -Rule (thin) +Feedback (___ __) -Feedback (_ _ _ _) 22/09/2018 02:54:39 UQAM-CNC
The Symbol Grounding Problem The Chinese-Chinese Dictionary-Go-Round 22/09/2018 02:54:39 UQAM-CNC
Artificial Life Simulations Toil vs. Theft (with A. Cangelosi) 22/09/2018 02:54:39 UQAM-CNC