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Titlebook: On the Mathematics of Modelling, Metamodelling, Ontologies and Modelling Languages; Brian Henderson-Sellers Book 2012 The Author(s) 2012 m

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Mathematics for Modelling,formalism are set theory and morphisms. First we consider, in Sect. 2.1, how set theory can represent modelling concepts. In Sect. 2.2, we look at mappings (functions) between pairs of sets–whether such a mapping is one-to-one, onto or both can be critical in understanding many of the ‘problems’ ide
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Models,em under study’ (SUS) (Seidewitz 2003)—although note that Hesse disputes with Kühne the use of the word ‘system’. Statements can be shown to be either true or false (see also Gonzalez-Perez and Henderson-Sellers 2007).
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Linking Models, Metamodels, Ontologies and Modelling Languages,as here, that there is a correspondence between a domain-specific ontology and the method domain in Fig. . (roughly OMG layer M2 in the architecture of Fig. .). This ontology must be represented by a language, where this language may itself be defined by a metamodel (OMG M2 or ISO Metamodel Domain).
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Other Related Work and Further Discussion, 2005b; Jackson 2009; Hoppenbrouwers and Wilmont 2010). Selic (2003) proposes five characteristics for all engineering models: abstraction, understandability, accuracy, predictiveness and inexpensive. Seidewitz (2003) and Muller et al. (2009) examine how model truth can be ascertained from both forw
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Brian Henderson-Sellersrkten Einsatz digitaler Technologien begleitet wird. Der Erfolg von Unternehmen hängt immer stärker von ihrer Fähigkeit ab, sich an die neuen Bedingungen anzupassen und diese sogar vorauszusehen, ihr Wissen kontinuierlich zu aktualisieren, neue Geschäftsmodelle, Produkte und Prozesse zu entwickeln.
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