A practical guide to designing expert systems
A practical guide to designing expert systems
Artificial Intelligence
Building expert systems
Knowledge acquisition for expert systems
Knowledge acquisition for expert systems
Knowledge engineering in practice
AI Expert
International Journal of Man-Machine Studies
Strategic issues in knowledge engineering
Human Factors
A formal evaluation of knowledge elicitation techniques for expert systems: domain 1
Proceedings of Expert Systems '87 on Research and Development in Expert Systems IV
Structural analysis of verbal data
CHI '87 Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface
Knowledge Acquisition for Expert Systems
ACAI '87 Advanced Topics in Artificial Intelligence, 2nd Advanced Course, ACAI '87, Oslo, Norway, July 28 - August 7, 1987
Human Problem Solving
Issues in knowledge acquisition
SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
A knowledge acquisition tool for intelligent computer tutors
ACM SIGART Bulletin
Conflict resolution in inductive learning from examples
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
A look-ahead learning algorithm for inductive learning through examples
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Focus Groups as a Knowledge Elicitation Technique: An Exploratory Study
IEEE Transactions on Knowledge and Data Engineering
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A variety of methods have been used by expert system developers to elicit experts' knowledge and reasoning strategies. Additionally, a number of methods have been used by experimental psychologists to explore hypotheses about the nature of expertise. Methods can be placed into three broad categories: (1) Analyses of the tasks that experts perform, (2) Interview techniques, and (3) Special tasks. A comparison of knowledge elicitation methods yields recommendations about how expert system developers can deal with the "knowledge acquisition bottleneck."