Table 1.
Category A | Category B | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Features | Features | |||||||||||||
P1 | P2 | P3 | P4 | P5 | P6 | D | P1 | P2 | P3 | P4 | P5 | P6 | D | |
Training items | ||||||||||||||
1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | |
0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | |
0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | |
0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | |
0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | |
Testing items | ||||||||||||||
Prototype | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Incongruent | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
Only-P | 0 | 0 | 1 | 1 | 0 | 0 | N | 1 | 1 | 0 | 0 | 1 | 1 | N |
Only-D | N | N | N | N | N | N | 0 | N | N | N | N | N | N | 1 |
One-New-P | N | 0 | 0 | 0 | 1 | 1 | 0 | N | 1 | 1 | 1 | 0 | 0 | 1 |
Note. The value 0 = any of seven features identical to the prototype of the category A. The value 1 = any of seven features identical to the prototype of the category B. The value N = new feature; it was always a white circle. P = probabilistic feature; D = deterministic feature.