1. Single Category Classification Stage One Additive Weighted Prototype Model

2. Create Prototype From Training Items 3 Categories - A B C Calculate weights for Features in each Dimension Create Prototypes for each Category

3. Prototype For Category A

4. Prototype For Category B

5. Prototype For Category C

6. Correlation of Prototype & Participant Classification For Category A

7. Correlation of Prototype & Participant Classification For Category B

8. Correlation of Prototype & Participant Classification For Category C

9. Conjunctions Stage Two Independent Approach To Conjunctions

10. Create Prototype From Training Items 3 Conjunctions - A&B, A&C, B&C Combine Category Scores using Function Product (A*B)

11. Correlation of Prototype & Participant Classification For Category A&B

12. Correlation of Prototype & Participant Classification For Category A&C

13. Correlation of Prototype & Participant Classification For Category B&C

14. Apply Prototype To Test Items Correlation = 0.601386853