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What is the knowledge acquisition bottleneck?

  • A.The cost of the hardware needed to store a large knowledge base
  • B.The difficulty of extracting expert knowledge into explicit rules
  • C.The limited speed at which a computer can read a knowledge base
  • D.The shortage of trained knowledge engineers available for hire

Answer: B

Human experts often cannot state the rules they follow, and eliciting them through interviews is slow and error prone, which limited how quickly expert systems could be built. Machine learning was adopted partly as a way around this bottleneck. Reading speed, staffing and storage cost were not the fundamental difficulty. A limitation that lies in the human rather than the machine is one that better computers cannot solve, which is why the response was a change of method.

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