Default Reasoning about Spatial Occupancy

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Towards Deep Symbolic Reinforcement Learning (2016, background): “Consisting mostly of empty space, it contains a variety of objects that tend to persist over time and have various attributes such as shape, colour, and texture [31].”
Qualitative Spatial Representation and Reasoning: An Overview (2001, unknown): “Other approaches to spatial uncertainty are to work with an indistinguishability relation which is not transitive and thus fails to generate equivalence classes [173, 121] and the development of nonmonotonic spatial logics [163, 2].”