Abstract
The geometric analogy problems of the Raven’s Progressive Matrices tests of intelligence appear to require many of the information-processing elements that form the basis of computational theories of general creativity: imagistic representations and reasoning; pattern detection and abstraction; analogical mapping, transfer and instantiation, and so on. In our method of addressing the test, an image is encoded as fractals, capturing its inherent self-similarity. Herein we present preliminary results from using the fractal technique on all 60 problems from the Standard Progressive Matrices version of the Raven’s test.
Fractal Analogies: Preliminary Results from the Raven’s Test of Intelligence
