A Representation for Modeling Functional Knowledge in Geometric Structures

Most geometric models are quantitative (half-spaces and transformations), making it difficult to perform the kind of abstraction needed to model the underlying functional knowledge. Typically, users have used ad hoc subjective notions to perform this abstraction, which we call the "get-beneath-the-geometry" syndrome.

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