Abstract
Visual reasoning is a very important kind of inference model. The authors present some of the more important visual operations for visual reasoning. A visual knowledge network (VKN), specifically designed for knowledge representation of visual objects and visual reasoning, is proposed. VKN is formally described as an algebraic structure, with network functions defined by it. Two reasoning algorithms for the VKN model are proposed: specialization and generalization reasoning algorithms. Some completely worked out examples demonstrate the efficacy of knowledge representation and visual reasoning.
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