Computing Human-Like Qualitative Topological Relations via Visual Routines

author: Andrew Lovett, Department of Electrical Engineering and Computer Science, Northwestern University
author: Kenneth Forbus, Department of Electrical Engineering and Computer Science, Northwestern University
published: July 22, 2009,   recorded: June 2009,   views: 140

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Description

A core problem in spatial reasoning is finding an appropriate set of relationships to compute. This paper proposes that humans represent topological relationships between 2D regions using three basic, qualitative relations: contains, intersects, and overlaps-with. We show how these relations can be computed from sketched inputs using a model of mid-level perception. Results from a pilot experiment indicate that these three relationships suffice to explain people‟s judgments on four English spatial terms (“intersects”, “overlaps”, “connects to”, and “contains”), although a combination of the three is generally required for each term.

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