The book provides rigorous mathematical chapters on Probability Theory and Fuzzy Logic. It explains how expert systems deal with vague or incomplete data, moving beyond simple True/False binaries to handle degrees of truth.
He didn’t unplug the machine. He picked up the book, turned to Chapter 1— What is an Expert System? —and for the first time, read the opening line as if it were a mirror:
❌ (start with a modern, broad AI text like Russell & Norvig).
The book is structured into two distinct sections, meticulously balancing the "why" and the "how" of Expert Systems Part I: Theoretical Foundations (Chapters 1–6):
(defrule query-sound (sound (noise ?n)) => (printout t "The animal makes: " ?n crlf))