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In any case, users of a model need to understand the assumptions made that are pertinent to its validity for a given use. Building a model requires abstraction. Assumptions are used in modelling in order to specify the domain of application of the model. For example, the special theory of relativity assumes an inertial frame of reference.
Fig.1: Wineglass model for IMRaD structure. The above scheme shows how to line up the information in IMRaD writing. It has two characteristics: the first is its top-bottom symmetric shape; the second is its change of width, meaning the top is wide, and it narrows towards the middle, and then widens again as it goes down toward the bottom.
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Building a model involves finding a set of relationships to represent the process that is generating the data. This requires avoiding all the sources of misspecification mentioned above. One approach is to start with a model in general form that relies on a theoretical understanding of the data-generating process.
The development of model theory as an independent discipline was brought on by Alfred Tarski during the interbellum. Tarski's work included logical consequence , deductive systems , the algebra of logic, the theory of definability, and the semantic definition of truth , among other topics.
A metamodel is a model of a model, and metamodeling is the process of generating such metamodels. Thus metamodeling or meta-modeling is the analysis, construction, and development of the frames, rules, constraints, models, and theories applicable and useful for modeling a predefined class of problems.
The conceptual model plays an important role in the overall system development life cycle. Figure 1 [6] below, depicts the role of the conceptual model in a typical system development scheme. It is clear that if the conceptual model is not fully developed, the execution of fundamental system properties may not be implemented properly, giving ...
Model-based design provides an efficient approach for establishing a common framework for communication throughout the design process while supporting the development cycle . In model-based design of control systems, development is manifested in these four steps: modeling a plant, analyzing and synthesizing a controller for the plant,