AI Algorithm for Solving Ravens Progressive Matrices

This work presents a novel method for solving the Ravens Progressive Matrices (RPM) problem using a visual heuristics based computational AI framework. The Simple-RPM algorithm is a simplified and efficient method based on three stages: re-representation - a global contractive transformation, prediction stage, and a matching stage.

In the re-representation phase, an integral score for each image is computed, closely followed by the prediction stage where the integral score corresponding to the missing RPM element is predicted.

Finally, the predicted integral score is used to find the matching test image in the matching stage. The Simple- RPM performs above average on the Basic-B and Basic-C RPM problem sets. The adjoining code shows how this Agent can be implemented in roughly 5 lines of python code.