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Why did expert systems prove difficult to maintain?

  • A.Large rule bases interact in ways that are hard to predict
  • B.The hardware they required became obsolete very quickly
  • C.The experts whose knowledge they captured refused to cooperate
  • D.They could not be run on more than one computer at a time

Answer: A

Once a system contains thousands of rules, adding or changing one can have unforeseen consequences elsewhere, and no expert has a global view of the interactions. Knowledge acquisition also proved to be a bottleneck, since experts often cannot articulate what they know. Hardware, cooperation and deployment were secondary difficulties. A system whose behaviour emerges from many local rules is hard to reason about globally, which is a difficulty shared with modern learned systems for different reasons.

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