
doi: 10.1109/64.21902
The authors describe what is wrong with conventional expert system development and consider whether these gaps can be filled by second-generation expert system development tools. They examine decision-tree approaches and knowledge shaping, which utilizes decision-tree power while eliminating problems commonly associated with their use. They conclude that knowledge shaping solves the problems encountered with present tools. >
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