Using Qualitative Representations and Analogical Mapping to Solve Problems from a Spatial Intelligence Test
نویسندگان
چکیده
We show how qualitative spatial representations can be used with the Structure-Mapping Engine (SME), a domain-general model of analogy, to solve a set of problems from the Raven’s Progressive Matrices test. SME is used in a two-stage mapping process which we have previously shown to be effective for solving geometric analogy problems. Each problem is drawn in PowerPoint and input into sKEA, our sketch understanding system. sKEA automatically computes qualitative representations of the drawings, using a spatial representation scheme motivated by research on human perception. We demonstrate that the representations generated by sKEA can be used with SME to solve the Raven’s Progressive Matrices problems, without using any processes specifically designed for the task.
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