We present a fractal technique for addressing geometric analogy problems from the Raven’s Standard Progressive Matrices test of general intelligence. In this method, an image is represented fractally, capturing its inherent self- similarity. We apply these fractal representations to problems from the Raven’s test, and show how these representations afford a new method for solving complex geometric analogy problems. We present results using the fractal algorithm on all 60 problems from the Standard Progressive Matrices version of the Raven’s test.
Recent News
New Podcast on Jill Watson and SAMI
Hiring a full-time research scientist and a half-time post-doc
News coverage on Jill Watson: what different sectors can teach us about AI
Congratulations to DILab alumni Mukundan Kuthalam for his recent acceptance to the Computer Science PhD program at Northwestern University!
Congratulations to DILab alumni Varsha Achar for starting her new job at Facebook!