Confident Reasoning on Raven's Progressive Matrices Tests

Authors

  • Keith McGreggor Georgia Institute of Technology
  • Ashok Goel Georgia Institute of Technology

DOI:

https://doi.org/10.1609/aaai.v28i1.8755

Keywords:

Analogical reasoning, fractal representations, intelligence tests

Abstract

We report a novel approach to addressing the Raven’s Progressive Matrices (RPM) tests, one based upon purely visual representations. Our technique introduces the calculation of confidence in an answer and the automatic adjustment of level of resolution if that confidence is insufficient. We first describe the nature of the visual analogies found on the RPM. We then exhibit our algorithm and work through a detailed example. Finally, we present the performance of our algorithm on the four major variants of the RPM tests, illustrating the impact of confidence. This is the first such account of any computational model against the entirety of the Raven’s.

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Published

2014-06-19

How to Cite

McGreggor, K., & Goel, A. (2014). Confident Reasoning on Raven’s Progressive Matrices Tests. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.8755

Issue

Section

AAAI Technical Track: Cognitive Systems