Schlessinger's criterion

Schlessinger's criterion is a guideline used in the field of mathematical modeling and computer simulations to determine when a particular model effectively represents real-world behavior. It assesses whether the model's responses are appropriately sensitive to changes in its parameters. Specifically, a model passes Schlessinger's criterion if small changes in input lead to predictable and consistent changes in output. This ensures that the model is reliable and can be used for decision-making or predictions without resulting in erratic or uncertain behavior. Essentially, it helps validate the effectiveness of models in simulating complex systems.