Spatial IQ Test for AI
Name
IQ_Test_Paper.pdf
Size
132.26 KB
Format
Adobe PDF
Checksum (MD5)
45f91211f9373b19cd8bf5b6e2c496da
Author(s)
Hilton, Erwin
Liao, Qianli
Poggio, Tomaso
Date Issued
December 31, 2017
Abstract
We introduce SITD (Spatial IQ Test Dataset), a dataset used to evaluate the capabilities of computational models for pattern recognition and visual reasoning. SITD is a generator of images in the style of the Raven Progressive Matrices (RPM), a common IQ (Intelligence Quotient) test used to test analytical intelligence. RPMs are purely visual, and require little prior knowledge. RPM tests the users ability to derive abstract rules and patterns from a set of images.
For the last 100 years, humans have evaluated intelligence us- ing standardized intelligence quotient exams. These tests examine different aspects of intelligence, including verbal, quantitative reasoning, and spatial reasoning ability. In the field of AI, there exists few intelligence established metrics beyond the Turing Test (TT) and the Total Turing Test (TTT). Thus, SITD makes for a useful dataset researchers can use to divide and conquer the task of creating ’intelligent’ machines.
Subjects
Dataset
IQ Test
AI
Turing Test
MIT Department
Center for Brains, Minds, and Machines
Terms of Use
Attribution-NonCommercial-ShareAlike 3.0 United States
Persistent DSpace Link
