Acquiring Design and Analysis Knowledge for Knowledge-Based Systems

作者: J. H. Boose , J. M. Bradshaw

DOI: 10.1007/978-3-642-72945-4_8

关键词: WorkbenchKnowledge-based systemsHeuristicsKnowledge acquisitionHuman–computer interactionKnowledge engineeringCADTestbedExpert system

摘要: A workbench for acquiring design and analysis knowledge to build knowledge-based systems is presented. Eliciting modeling such from a human designer major problem when building CAD problems. Aquinas, an extended version of the Expertise Transfer System (ETS), combines ideas psychology research. Aquinas interviews experts helps them model, analyze, test, refine their knowledge. multiple designers or other sources can be represented used separately combined. User consultations are directed by propagating information through hierarchies. delivers creating bases several different expert system shells. Help given dialog manager that embodies acquisition heuristics. contains many techniques tools expertise transfer; combine make it powerful testbed rapidly prototyping portions kinds complex systems.

参考文章(24)
Glenn Shafer, Amos Tversky, Languages and designs for probability judgment Cognitive Science. ,vol. 9, pp. 40- 54 ,(1990) , 10.1207/S15516709COG0903_2
Sandra Marcus, Tianran Wang, John Mcdermott, Knowledge acquisition for constructive systems international joint conference on artificial intelligence. pp. 637- 639 ,(1985)
Ernest Chang, Participant Systems for Cooperative Work Distributed Artificial Intelligence. pp. 311- 339 ,(1987) , 10.1016/B978-0-934613-38-5.50014-3
George Alexander Kelly, The psychology of personal constructs. ,(1955)
Mildred L. G. Shaw, Recent advances in personal construct technology Academic Press. ,(1981)
Sarah Lichtenstein, Ruth Beyth-Marom, Shlomith Dekel, Ruth Gombo, Moshe Shaked, An Elementary Approach To Thinking Under Uncertainty Routledge. ,(2013) , 10.4324/9780203781425
Sandra Marcus, SALT: A Knowledge-Acquisition Tool for Propose-and-Revise Systems The Kluwer International Series in Engineering and Computer Science. pp. 81- 123 ,(1988) , 10.1007/978-1-4684-7122-9_4
Edward Hance Shortliffe, Bruce G. Buchanan, Rule-based expert systems : the MYCIN experiments of the Stanford Heuristic Programming Project Addison-Wesley. ,(1985)
J. G. Carbonell, T. M. Mitchell, R. S. Michalski, Machine Learning: An Artificial Intelligence Approach Springer Publishing Company, Incorporated. ,(2013)