Expert systems: perils and promise
Communications of the ACM
Tuning of search of the problem space for geometry proofs
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
A framework for representing tutorial discourse
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
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This article discusses the need for multiple experts to work together to develop knowledge representation systems for intelligent tutors. Three case studies are examined in which the need for a pragmatic approach to the problem of knowledge acquisition has become apparent. Example methodologies for building tools for the knowledge acquisition phase are described including specific tasks and criteria that might be used to transfer expertise from several experts to an intelligent tutoring system.