Model-based reasoning

Model-based reasoning is an approach to problem-solving and decision-making that utilizes models to represent complex systems or phenomena. This reasoning process involves using conceptual, mathematical, or computational models to simulate, analyze, and draw inferences about real-world situations. Key components of model-based reasoning include: 1. **Representation**: Models serve as simplified representations of the real world, capturing essential features while abstracting away less relevant details. These models can take various forms, such as diagrams, equations, or simulations.