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Assessment of Word-Level Neural Language Models for Sentence Completion
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In: Applied Sciences ; Volume 10 ; Issue 4 (2020)
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Spatial IQ Test for AI
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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. ; This work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF - 123 1216.
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Keyword:
AI; Dataset; IQ Test; Turing Test
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URL: http://hdl.handle.net/1721.1/113004
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