Discussion
Which of the following is not a component of the classical expert system architecture?
Training set
Knowledge base
Inference engine
Explanation facility
Answer: C
A training set belongs to machine learning, where a model is induced from examples, whereas the classical architecture consists of a knowledge base, an inference engine, working memory, an explanation facility and a user interface. The distinction matters historically, because learning from data eventually addressed the acquisition bottleneck that hand-built knowledge bases could not escape. A single measurement chosen to respond to the one asymmetry beats several that respond to shared behaviour. Reading the definition literally, rather than recalling a formula, is the reliable route through questions of this shape.
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