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Some of the representations in cognitive modeling topics are described with descriptions in the following diagram [17].

Table 1.2 Representational uses of cognitive modeling for decision support user interactive device systems [17].

Topic	Representational expectations	Comments
Model understand the context	Objectives in the form of sentential statements, to verify the relationship, data discovery, and investigation of data. To high-level requirements for visualization model or architecture. The dominant type of visualization is based on data analysis and exploration.	The ambiguity possible with sentential representations can be an advantage without ambiguity.
Model structure definition	The relationship provided in model supportability through data analysis, visualization of the model, decomposition of the problem, and variable specifications. The dominant type of visualization model may be computed probably with the help of given fullest resources utilization.	The activity usually received total resources what we thought was the significant portion. Visual tools range from “Balloons and Strings representation of relatedness” to tables of storage format, spreadsheets, and visual framework of activities.
Realization of the model	Identification of solution with the help of a more concrete model as adequate parameter estimation. The dominant visualization type is to be built by continuing the suitable model at various levels of hierarchy.	Supports for the hierarchical problem decomposition into chunks at various levels visualization.
Assessment of the model	Provided correctness, feasibility, and acceptability in validation of the model.	The stakeholder target is justified through context given by the right modeler with colleagues, customers, and users.
Implementation of the model	The suitable model is implemented and managed its transmission into active usage.	Completeness of visualization to assist marketing and training. Good speed and benefits concerning turnover in personals the number of new users of the model.

 Understand model context

 Define structural model

 Realization of the model

 Assessment of the model

 Model implementation