A philosophical basis for knowledge acquisition

Knowledge Acquisition

Volumn 2, Issue 3, 1990, Pages 241-258

  Compton, P ^a,b   Jansen, R ^c  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b ST VINCENT S HOSPITAL   (Australia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0345666362     PISSN: 10428143     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1042-8143(05)80017-2     Document Type: Article

References (47)

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2. R1 revisited: four years in the trenches
3. Expertise transfer and complex problems: using AQUINAS as a knowledge acquisition workbench for knowledge-based systems
4. Expert systems: working systems and the research literature
5. Generic tasks for knowledge-based reasoning: the “right” level of abstraction for knowledge acquisition
6. Heuristic classification
7. Maintaining an expert system
8. Knowledge is context: a strategy for expert system maintenance
9. Error in laboratory reference limits as shown in a collaborative quality assurance program
10. A relational information resource dictionary system
11. Making a mind versus modelling the brain: artificial intelligence back at a branchpoint
12. The art of artificial intelligence: themes and case studies in knowledge engineering
13. Selection and interpretation of diagnostic tests and procedures
14. An expert system for the interpretation of thyroid assays in a clinical laboratory
15. The knowledge dictionary, a relational tool for the maintenance of expert systems
16. The knowledge dictionary: an application of software engineering techniques to the design and maintenance of expert systems
17. The knowledge dictionary a data dictionary approach to the maintenance of expert system
18. The knowledge dictionary: storing different knowledge representations
19. On the thresholds of knowledge
20. When will machine learn
21. An expert operator guidance system for an iron ore sinter plant
22. Circumscription—a form of nonmonotonic reasoning
23. Experiences in developing an intelligent operator guidance system
24. Computer science as empirical enquiry: symbols and search
25. Inductive knowledge acquisition: a case study
26. Integrating knowledge acquisition and performance systems
27. Artificial Intelligence in medicine: where do we stand
28. Validation in a knowledge acquisition system with multiple experts
29. Assessing the maintainability of XCON-in-RIME: coping with the problems of a VERY large rule-base
30. Vision without inversion of the retinal image
31. Vision without inversion of the retinal image
32. Completeness and consistency in a rule-based system