Symbolic models are representations that use symbols to convey information about a system or concept. These models often rely on mathematical expressions, diagrams, or logical statements to illustrate relationships and behaviors. They are commonly used in fields like mathematics, computer science, and artificial intelligence to simplify complex ideas and facilitate understanding. In symbolic modeling, the symbols stand for real-world entities or concepts, allowing for easier manipulation and analysis. For example, in logic, symbols can represent propositions, while in programming, they can denote variables. This abstraction helps in problem-solving and decision-making by providing a clear framework for reasoning.