What is the foundation of a deterministic model?

A deterministic model is built upon known functional linkages and interactions, which means that it operates under a set of defined rules and relationships between variables. This type of model is characterized by its predictability; if you input the same set of conditions or parameters, it will always produce the same outcome. The foundation of deterministic models hinges on the assumption that the underlying processes are consistent and can be accurately described by mathematical equations or logical formulas.

In contrast, statistical probabilities relate more to stochastic models, which incorporate the element of randomness and uncertainty, leading to different outcomes even under the same initial conditions. General predictions based on data often involve some level of estimation and uncertainty, making them less fixed than in a deterministic approach. Lastly, passive descriptions do not engage with the dynamic relationships and interactions that underlie the processes being modeled. Therefore, the reliance on known functional linkages and interactions distinguishes deterministic models and ensures their reliability and consistency in generating outcomes.