One type of model has a limited number of terms and fairly simple equations which means we can understand them (R=h2S for example), but if we applied them to a real system we know they would somewhat inaccurate. That’s because we’re leaving lots of potentially important factors out. However, if they are approximately accurate and fairly simple, they can help us understand the system and come up with new ideas by showing us what is most important. Describe a mathematical model designed to make predictions, but is so complicated that nobody really understands the details and therefore doesn’t really help us understand the scenario.
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