Spatial Representation and Reasoning (original) (raw)

This work delves into the need for representing and reasoning about spatial properties and relations across various applications, including robotics, geographical databases, and natural language processing. It contrasts the precision of Euclidean space representation with qualitative spatial reasoning, highlighting insights drawn from cognitive linguistics and primate vision studies. The paper also discusses the interplay between propositional and imagistic representations in spatial reasoning, advocating for a hybrid approach leveraging both qualitative and metric components.