Description: The functional model is an approach that describes the relationships between the inputs and outputs of a system, without delving into the details of its internal implementation. This model focuses on how different input variables affect the behavior and outcomes of the system, allowing designers and analysts to understand and predict its functioning. In the context of explainable artificial intelligence (AI), the functional model is crucial as it provides a way to interpret and justify the decisions made by algorithms, facilitating transparency and trust in automated systems. In various fields of computing, this model is used to abstractly represent system components and their interactions, allowing for more efficient and adaptable processing. The main characteristics of a functional model include its ability to simplify the complexity of systems, its focus on the relationship between variables, and its utility in creating predictive models. This approach is especially relevant in areas where interpretability and efficiency are essential, such as in automated decision-making and in the design of systems that mimic biological processes.
