A Qualitative Model to Reason about Object Rotations (QOR) applied to solve the Cube Comparison Test (CCT)

TL;DR

This paper introduces a qualitative reasoning model for object rotations, specifically applied to solve the Cube Comparison Test, by constructing a neighborhood graph and composition tables for inference.

Contribution

It presents a novel qualitative model (QOR) that effectively reasons about object rotations using a neighborhood graph and composition tables, applied to the CCT.

Findings

Successfully applied QOR to solve the Cube Comparison Test

Developed a conceptual neighborhood graph for rotations

Produced composition tables for inference

Abstract

This paper presents a Qualitative model for Reasoning about Object Rotations (QOR) which is applied to solve the Cube Comparison Test (CCT) by Ekstrom et al. (1976). A conceptual neighborhood graph relating the Rotation movement to the Location change and the Orientation change (CNGRLO) of the features on the cube sides has been built and it produces composition tables to calculate inferences for reasoning about rotations.