Symbolic AI, also known as Good Old-Fashioned Artificial Intelligence (GOFAI), is an approach to artificial intelligence that relies on high-level, human-readable symbols to represent knowledge and rules. This paradigm emphasizes the manipulation of these symbols through logical reasoning and inference processes, allowing machines to perform tasks like problem-solving, planning, and natural language understanding. Key characteristics of symbolic AI include its reliance on explicit knowledge representation, rule-based systems, and the ability to explain reasoning processes. Common use cases include expert systems, automated theorem proving, and applications in natural language processing where structured reasoning is essential.
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AI Fundamentals