Traditional AI
Traditional AI, also known as symbolic AI or Good Old-Fashioned AI (GOFAI), refers to early approaches in artificial intelligence that rely on explicit rules, logic, and symbolic representations to mimic human reasoning. It focuses on problem-solving through predefined algorithms and knowledge bases, rather than learning from data. This includes techniques like expert systems, search algorithms, and knowledge representation.
Developers should learn Traditional AI to understand foundational AI concepts, build interpretable systems where decisions must be traceable (e.g., in healthcare or finance), and handle problems with well-defined rules. It's useful for applications requiring logical reasoning, such as game-playing AI, diagnostic tools, or planning systems, where modern machine learning might be overkill or lack transparency.