Chapters explore how human expertise is encoded using semantic nets, frames, and logic. It emphasizes the separation of knowledge (the knowledge base) from the mechanism that uses it (the inference engine).
: The first half covers the fundamentals of Artificial Intelligence, knowledge representation (like semantic nets and frames), and inference methods such as forward and backward chaining. It also explores complex topics like reasoning under uncertainty and inexact reasoning. Chapters explore how human expertise is encoded using
Expert Systems: Principles and Programming, Fourth Edition Chapters explore how human expertise is encoded using
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