A simulator is a program or machine that simulates a real-life situation, meaning that it creates a virtual version of it, often for the purpose of instruction or experiment, such as a flight simulator. ... Simulators allow them to learn and gain experience in such tasks without the risks.
Model SIMULATION means the result of an already produced model for our newly encoded data to that model.
N.B. Models have been made with data of the modelers (the scientists). But when we import them (we want them to work in a new location or case), we've to test them with our own data then we look for the results called SIMULATED RESULTS.
The biggest problem we face in using models (in my case agriculture) is not with the results (i.e. SIMULATION ) given by the model, but due to our carelessness, fatigue, or other untold reasons, that we ignore to compare our SIMULATED results with our real-world cases.
"Health is not the absence of illness." (Hippocrates)
(We should know our hidden illness for sure, then we can use supportive tools (i.e. MODELS) sooner or later. But in reality, we rush to use models without genuine know-how of our illness (particularly we agriculturalists living in less developed countries). Models could mislead us due to the GIGO principle.
N.B., the last "O" in the GIGO stands for our SIMULATED data.
Fancy models and ugly facts (poverty and hunger)!!!!!