Definition
Defined as the process of utilizing tools to come close to equalize the behaviour of a phenomenon, may that be physical observation, business process or social interaction. Tools such as mathematical, logical, genetic or even physical.
Modelling Objectives
- Predicting the outcome of a process.
- Matching the behaviour of a process.
This applies to the second kind of objectives; namely, the matching of a process, be that a business, an activity or industrial process. The relation between the analyst and the user is directional, as shown:
- Prolog: This uses relationships and facts to match a process. Example is the database ER model.
- Propositional: Utilises the statement (if p then q), which is widely used in business modelling and scenarios.
- Predicate: New but not widely used nor fully implemented. Utilises induction statements like (for any set there exists at least one exception). Contradiction to the deduction principles.
- Genetic: This model can predict outcomes based on the Darwinian evolution principles.
- Divine: When the outcome is absolutely known by deduction using the principles of causation, the modelling will be divine.
Practical approach to deal with providing feedback for recursive correction of the model.
Modelling the Modelling
In reality, since the analyst is unaware of most modelling tools, then this modelling of the modelling applies:
