Paper
1977
The Art of Artificial Intelligence: Themes and Case Studies of Knowledge Engineering
Edward A. Feigenbaum
Argues an expert system's power comes from the volume of domain-specific knowledge it encodes rather than the sophistication of its inference engine, coining 'knowledge engineering' for the work of extracting that knowledge.
Read itWhere it is now wrong
The confidence that hand-built knowledge bases were the road to capable systems did not survive the expert-system contraction of the late 1980s. Read it for what the knowledge-engineering bet actually was, argued by the person who made it.
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Filed under Classical & Symbolic AI in Artificial Intelligence.