What is Traditional AI?

Traditional AI refers to earlier approaches to artificial intelligence that relied on explicitly programmed rules, logic, and human-defined knowledge rather than learning from data. These systems, including expert systems and symbolic reasoning, required programmers to manually encode decision trees, if-then rules, and domain expertise to solve specific problems. Unlike modern machine learning approaches that discover patterns automatically from large datasets, Traditional AI depended on human experts to define how the system should think and behave.