A modelling framework
Make predictions from data.
EX: The relation between Coke and obesity. (Sugar=fat, due to human metabolism) (Weight *liters of Coke)
Real World > process > Abstraction model > modifying parameters > Simulation > data > compare/validate with the real world.
Abstract: Hypothesize & Reduction.
Take the real world apart (to the smallest components) and rebuild it.
Implementation: Feasability & Emphesize
Descriptive / Physical model.
The application will determin the result of your prediction, safety, education, testing, and so on.
Sience > Politics > Engineering.
Conceptual Models; population growth > oil resources > social dynamics in solidarity networks (cooperative behaviour)
Interactions between different models and processes to understand the whole.
EX: boxes from wether forecast : stratosphere to deep-sea level. (compare data to simulation)
