Expert Systems- Principles And Programming- Fourth Edition.pdf Link

The answer is . Modern neural networks are incredibly powerful but notorious for not explaining why they made a decision. In high-stakes fields—medicine, finance, law, aviation—regulators demand an audit trail. Expert systems are inherently explainable; they can produce a step-by-step chain of rules that led to a conclusion.

In the modern era of generative AI, large language models, and neural networks, it is easy to forget the foundational technologies that made artificial intelligence a practical discipline. Before ChatGPT, before self-driving cars, there were expert systems —the first truly successful branch of AI to see widespread commercial application. The answer is

(defrule engine-turns-over-but-no-start (engine-cranks yes) (has-fuel no) => (assert (diagnosis . "Check fuel pump and filter"))) (defrule ask-fuel (engine-cranks yes) (not (has-fuel ?)) => (printout t "Do you have fuel in the tank? (yes/no) ") (assert (has-fuel (read)))) Expert systems are inherently explainable; they can produce