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Which limitation did the knowledge acquisition bottleneck describe?

  • A.The user interface cannot present a long chain of reasoning in a comprehensible way
  • B.Extracting expertise from experts is slow
  • C.The inference engine cannot process rules quickly enough for a large knowledge base
  • D.Rules cannot represent uncertain knowledge

Answer: B

Experts find it hard to articulate knowledge they apply automatically, so eliciting and encoding it dominated the cost of building these systems. Interviewing, protocol analysis and repertory grids were developed in response, and machine learning was eventually the more effective answer. Engine speed, uncertainty and interface design were real problems but not the bottleneck the term names. Naming the cost of a choice alongside its benefit is what turns a fact into a design decision.

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