Table 3.
Design of Experiments 1–7.
Task | # Trials | Images per trial | Exptr feedback? | |
---|---|---|---|---|
|
||||
Experimental condition | ||||
• Category training | Training on rule and properties that distinguish ziblets vs. flurps | - | - | |
• Category learning | Classify instance as ziblet vs. flurp | 8 | 1 | yes |
• Initial categorization | Classify instance as ziblet vs. flurp | 8 | 1 | no |
• Induction | Select which test item has same property as target | 12 | 3 | no |
• Final categorization | Classify instance as ziblet vs. flurp | 8 | 1 | no |
Control condition | ||||
• Induction | Select which test item has same property as target | 12 | 3 | no |
• Category training | Training on rule and properties that distinguish ziblets vs. flurps | - | - | |
• Category learning | Classify instance as ziblet vs. flurp | 8 | 1 | yes |
• Initial categorization | Classify instance as ziblet vs. flurp | 8 | 1 | no |