Symbolic AI

Symbolic AI is a branch of artificial intelligence that represents knowledge using symbols and rules to manipulate them. Instead of learning from data like other AI approaches, such as machine learning, Symbolic AI focuses on reasoning and problem-solving by using explicit, predefined rules. It models concepts and relationships in a way that allows machines to understand and process information similarly to human reasoning. This makes it effective for tasks requiring logic, planning, and expert systems, but it can struggle with ambiguity and learning from vast amounts of unstructured data.