Categorization of modeling language concepts: Graded or discrete?

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Abstract

We investigate the category structure of categories common to conceptual modeling languages (i.e., the types used by languages such as actor, process, goal, or restriction) to study whether they more closely approximate a discrete or graded category. We find that most categories exhibit more of a graded structure, with experienced modelers displaying this even more strongly than the other participants. We discuss the consequences of these results for (conceptual) modeling in general. © 2013 Springer-Verlag.

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Van Der Linden, D. (2013). Categorization of modeling language concepts: Graded or discrete? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8186 LNCS, pp. 743–746). https://doi.org/10.1007/978-3-642-41033-8_99

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