Using a Visual Routine to Model the Computation of Positional Relationships

Abstract

Modeling the encoding of visual stimuli is a complex, and often ignored, problem in computational models of visual and spatial problem solving. This paper outlines a toolkit for exploring encoding for two-dimensional visual scenes, Visual Routines for Sketches. The utility of this approach is shown by a new model for computing positional relationships, the Vector Symmetry model, that explains data from seven experiments and is more parsimonious than Regier & Carlson’s (2001) AVS model.


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