A conceptual framework for knowledge elicitation

International Journal of Man-Machine Studies

Volumn 26, Issue 4, 1987, Pages 521-531

  Garg Janardan, Chaya ^a   Salvendy, Gavriel ^a  

^a SCHOOL OF INDUSTRIAL ENGINEERING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE - EXPERT SYSTEMS; SYSTEMS SCIENCE AND CYBERNETICS - LEARNING SYSTEMS;

KNOWLEDGE FRAMEWORK FOR KNOWLEDGE ELICITATION.;

INFORMATION SCIENCE;

EID: 0023331719     PISSN: 00207373     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-7373(87)80085-8     Document Type: Article

References (25)

1. The application of artificial intelligence to a maintenance and diagnostic information system (MDIS)
2. NeoETS
3. Interactive transfer of expertise: Acquisition of new inference rules
4. New directions in the analysis and interactive elicitation of personal construct systems
5. Knowledge based knowledge acquisition for a statistical consulting system
6. A pragmatic knowledge acquisition methodology
7. MEDKAT: multiple expert delphi-based knowledge acquisition tool
8. Strategies for knowledge acquisition
9. CAP: a knowledge extraction methodology for computer programming
10. Knowledge acquisition for constructive systems
11. Sources of bias and fallibility in humans
12. Telling more than we can know: verbal reports on mental processes
13. The Crawford slip method (CSM) as a tool for extraction of expert knowledge
14. Interactive knowledge elicitation
15. The DIPMETER advisor system
16. Explaining and justifying expert consulting programs
17. Judgment under uncertianty: heuristics and biases