2.2.5. Dynamics

The data system model's last task replaces fixed data parameters and selected data sets by a mechanism for data collecting and structuring. Usually, these mechanisms refer to algorithms, which can become intelligent agents. Finally, the dynamics can enhance the database system, reaching intelligent databases. Intelligent databases are in constant change adapting to the dynamics of process systems and other business features.

#### *2.3. Knowledge System Model*

The knowledge system model organizes how the cognition process evolves, focusing on knowledge management. This cognition process integrates and adapts Bloom's taxonomy types of knowledge (Section 1.3.1) and ontologies, applied to computational systems. Thus, the resulting model comprises four main modules: conceptual, procedural, expertise, and metacognitive, as shown in Figure 6. Finally, the knowledge model system acts as an integrator between the process and data system models.

**Figure 6.** Maturity echelons of the knowledge system model.
