Model-based reasoning

Model-based reasoning is a method where we use an organized framework or "model" of a system—like a map or a blueprint—to understand and solve problems. By comparing real-world observations to the model's expected behavior, we can identify discrepancies, diagnose issues, and predict outcomes. It allows us to reason logically about complex systems, whether in engineering, medicine, or troubleshooting, by simulating how different parts interact. Essentially, it’s a structured way of thinking that helps us analyze current situations and make informed decisions based on a structured understanding of the system.