Knowledge acquisition without analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 723 LNAI, Issue , 1993, Pages 277-299

  Compton, Paul ^a   Kang, Byeong ^a   Preston, Phillip ^a   Mulholland, Mary ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINEERS; JOB ANALYSIS; KNOWLEDGE BASED SYSTEMS; MERGERS AND ACQUISITIONS;

INCREMENTAL DEVELOPMENT; RIPPLE DOWN RULES; TASK ANALYSIS; TOOLS AND METHODS;

KNOWLEDGE ACQUISITION;

EID: 85028826067     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-57253-8_59     Document Type: Conference Paper

References (65)

1. D. Allemang: Modelling a configuration problem with Generic Tasks. In: M. Linster (eds.):Sysyphus'91: Models of Problem Solving. GMD (Gesellschaft fur Mathematik und Datenverarbeitung mbH) 1992.
2. G. Boy: Some theoretical issues on the computer integrated documentation prqiect. In: (eds.):6th Bannf AAAI Knowledge Acquisition for Knowledge Based Systems Workshop. Bannf, 1991, pp. 3.1-3.15
3. J. Catlett: Ripple-Down-Rules as a Mediating Representation in Interactive Induction. In: R. Mizoguchi, H. Motoda, J. Boose, B. Gaines and R. Quinl,'m (eds.):Proceedings of the Second Japanese Knowlege Acquisition for Knowledge-Based Systems Workshop. Kobe, Japan, 1992, pp. 155-170
4. B. Chandrasekaran: Towards a taxonomy of problem solving types. AI Magazine Winter/Spring, 9-17 (1983)
5. B. Chandrasekaran: Generic tasks in knowledge-based reasoning: high level building blocks for expert system design. IEEE Expert 1 (3), 23-30 (1986)
6. W. Clancey: The frmne of reference problem in cognitive modelling. In: K. VanLehn and A. Newell (eds.): Proceedings of the annual conference of the congnitve science society. Hillsdale, New Jersey: Lawrence Erlbaum 1989, pp. 107-114
7. W. Clancey: The knowledge level revisited: modelling how systems interact. Machine Learning 4,285-291 (1989)
8. W. Clancey: Viewing knowledge bases as qualitative models. IEEE Expert Summer, 9-23 (1989)
9. W.J. Clancey: The epistomology of a rule bases system -framework for explanation. Artificial Intelligence 20,215-251 (1983)
10. W. J. Clancey: Heuristic classification. Artificial Intelligence 27, 289-350 (1985)
11. W. J. Clancey: Book review of "The Invention of memory". Artificial Intelligence 50 (2), 241-284 (1991)
12. W.J. Claneey: A boy scout, Tort, and a bird: how situated cognition is diffemt form situated robotics. In: (eds.):NATO workshop on emergence, subsumption and symbol grounding. 1991.
13. W.J. Clancey: Situated Cognition: stepping out of the representational flatland. AI Coimnuncations, (1991)
14. W.J. Clancey: Model construction operators. Artificial Intelligence 53 (1-115), (1992)
15. R. M. Colomb: Computational Stability of Expert Systems. In: J. Liebowitz (eds.):Proceedings of the World Congress on Expert Systems. Orlando, Florida, Pergmnon Press 1991, pp. 1123-1131
16. P. Compton: Insight and Knowledge. In: J. Boose, W. Clancey, B. Gaines and A. Rappaport (eds.):AAAI Spring Symposium: Cognitive aspects of knowledge acquisition. Stanford University, 1992, pp. 57-63
17. P. Compton, G. Edwards, B. Kang, L. Lazarus, R. Malor, T. Menzies, P. Preston, A. Srinivasan and C. Sammut: Ripple down rules: possibilities and limitations. In: J. Boose and B. Gaines (eds.):6th Bannf AAAI Knowledge Acquisition for Knowledge Based Systems Workshop. Banff, 1991, pp. 6.1-6.18
18. P. Compton, G. Edwards, A. Srinivasan, R. Malor, P. Preston, B. Kang and L. Lazarus: Ripple down rules: turning knowledge acquisition into knowledge maintenance. Pu'tificial Intelligence in Medicine 4,47-59 (1992)
19. P. Compton, R. Horu, R. Quinlan and L. Lazarus: Maintaining an expert system. In: J. R. Quinlan (eds.): Applications of Expert Systems. London: Addison Wesley 1989, pp. 366-385
20. P. Compton and R. Jansen: Knowledge in context: A strategy for expert system maintenance. In: C. J. Barter and M. J. Brooks (eds.): AI'88 (Proceedings of the 1988 Australian batificial Intelligence Conference). Berlin: Springer-Verlag 1989, pp. 292-306 (283-297 oliginal Proceedings)
21. P. Compton and P. Preston: A minim,-d context based knowledge acquisition system. In: (eds.):"Knowledge Acquisition: Practical Tools and Techniques" AAAI-90 Workshop. Boston, 1990
22. P. Compton, W. Yang, M. Lee and B. Jansen: Cornerstone cases in a dictionary approach to knowledge based systems. In: B. Jansen, B. Gaines, J. Carlis and J. Kontio (eds.):IJCAI-91 workshop on software engineering for acknowledge-based systems. Sydney, 1991, pp. 24-40
23. P.J. Compton and R. Jansen: A philosophical basis for knowledge acquisition. Knowledge Acquisition 2,241-257 (1990)
24. H. Dreyfus and S. Dreyfus: Making a mind versus modelling the brain: artificial intelligence back at a branchpoin. Daedalus 117 (Winter), 15-43 (1988)
25. G. Edwards, P. Compton, R. Malor, A. Srinivasan and L. Lazarus: PEIRS: a pathologist maintained expert system for the interpretation of chemical pathology reports. Pathology 25,27-34 (1993)
26. B. Z. Feldman, P. J. Compton and G. A Smythe: Hypothesis testing: an appropriate task for knowledge based systems. Proc 4th Knowledge Acquisition for Knowledge Based Systems Workshop, 10.1-10.20 (1989)
27. B. Gaines: Induction and visualisation of rules with exceptions. In: J. Boose and B. Gaines (eds.):6th AAAI Knowledge Acquisition for Knowledge Based Systems Workshop. Bannf, 1991, pp. 7.1-7.17
28. B. Gaines: The Sisyphus problem-solving example through a visual language with KL-ONE-like knowledge representation. In: M. Linster (eds.):Sysyphus'91: Models of Problem Solving. GMD (Gesellschaft fur Mathematik und Datenverarbeitung mbH) 1992
29. B. Gaines and M. Shaw: Cognitive and Logical Foundations of Knowledge Acquisition. In: (eds.):5dl AAAI Knowledge Acquisition for Knowledge Based Systems Workshop. Bannf, 1990, pp. 9.1-9.25
30. B.R. Gaines: An interactive visual language for term subsumption languages. In: (eds.):Proceedings of the 13th International Joint Conference on Artificial Intelligence. Sydney, Morgan Kaufmann 1991, pp. 817-823
31. B. R. Gaines and P. J. Compton: Induction of Ripple Down Rules. Iu: A. Adams and L. Sterling (eds.):AI '92. Proceedings of the 5th Australian Joint Conference on Artificial Intelligence. Hobart, Tasmania, World Scientific, Singapore 1992, pp. 349-354
32. T.R. Gruber: A translation approach to portable ontology specifications. In: R. Mizoguchi, H. Motoda, J. Boose, B. Gaines and R. Quiulan (eds.):Proceedings of the Second Japanese Knowlege Acquisition for Knowledge-Based Systems Workshop. Kobe, Japan, 1992, pp. 89-107
33. K. Horn, P. J. Compton, L. Lazarus and J. R. Quinlan: An expert system for the interpretation of thyroid assays in a clinical laboratory. Aust Comput J 17, 7-11 (1985)
34. B. Jansen and P. Compton: The Knowledge Dictionary. London: Academic Press in press
35. R. Jansen and P. Compton: The knowledge dictionary: storing different kmowledge representations. Proc 5th Aust Conference on Applications of Expert Systems, 143-162 (1989)
36. B. Kang and P. Compton: Knowledge acquisition in context: the multiple classification problem. In: (eds.):Proceedings of die Pacific Rim International Conference on Artificial Intelligence. Seoul, 1992, pp. 847-854
37. B. Kang and P. Compton: Towards a process memory. In: J. Boose, W. Clancey, B. Gaines and A. Rappaport (eds.):AAAI Spring Symposium: Cognitive aspects of knowledge acquisition. Stanford University, 1992, pp. I39-146
38. B. Kuipers: Qualitative simulation. Artificial Intelligence 29,289-338 (1986)
39. M. Lee, P. Compton and B. Jansen: Modelling with Context-Dependant Causality. In: R. Mizoguchi, H. Motoda, J. Boose, B. Gaines and R. Quinlan (eds.):Proceedings of the Second Japanese Knowlege Acquisition for Knowledge-Based Systems Workshop. Kobe, Japan, 1992, pp. 357-370
40. D. Lenat and E. Feigenbaum: On the thresholds of knowledge. Artificial Intelligence 47 (1-3), 185-250 (1991)
41. B. Lonergan: Insight. London: Darton, Longman and Todd 1959
42. A. Mahidadia, P. Compton, C. Sammut, T. Menzies mid G. Smythe: Inventing Causal Qualitative Models: A Tool for Experimental Research. In: A. Adams and L. Stirling (eds.):AI'92, Proceedings of file 5Ih Australian joint conference on artificial intelligence. Hobart, World Scientific, Singapore 1992, pp. 317-322
43. Y. Mansuri, P. Compton and C. Sammut: A comparison of a manual knowledge acquisition method and an inductive learning method. In: J. Boose, J. Debenham, B. Gaines and J. Quinlan (eds.):Australian workshop on knowledge acquisition for knowledge based systems. Pokolbin, 1991, pp. 114-132
44. D. Marques, G. Klinker, G. Dallemagne, P. Gautier, J. McDermott and D. Tung: More data on useable and reusable programming constructs. In: J. Boose and B. Gaines (eds.):Proceedings of the 6th Bannf Knowledge Acquisition for Knowledge-Based Systems Workshop. Bannf, 1991, pp. 14.1-14.19
45. T. Menzies: Concerning the use of procedural constructs as a knowledge acquisition technique. In: J. Boose, J. Debenham, B. Gaines and J. Quinlan (eds.):Australian workshop on knowledge acquisition for knowledge based systems. Pokolbin, 1991, pp. 133-156
46. T. Menzies, A. Mahidadia and P. Compton: Using Causality as a Generic Knowledge Ontology: Experiences with CHUTE. In: J. Boose, B. Gaines and M. Musen (eds.):7th AAAI-sponsored Workshop on Knowledge Acqusition for Knowledge Based Systems Workshop,. Bannf, 1992, pp. 18.1-18.19
47. S. Muggleton: Inductive Logic Programming. London, Academic Press. (1992)
48. M. Mulholland, P. Preston, B. Hibbert and P. Compton: An expert system for ion chromatography developed using machine learning and knowledge in context. In: (eds.):Proceedings of the Sixth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. Edinburgh, 1993, inpress
49. M. Musen: Automated Generation of Model-Based Knowledge Acquisition Tools. San Mateo: Morgan Kaufinann 1989
50. A. Newell: Tile knowledge level. Artificial Intelligence 18,87-127 (1982)
51. A. Newell and H. Simon: Computer Science as empirical enquiry: symbols and se,'u'ch. In: J. Haugeland (eds.): Mind Design. Cambridge, MA: MIT Press 1981
52. J. Piaget: The child's conception of tile world. London: Routtedge and Kegan Paul 1929
53. K. Popper: Conjectures and refutations. London: Routledge and Kegan Paul 1963
54. O. Preston, G. Edwards and P. Compton: A 1600 rule expert system without knowledge engineers. In: J. Leibowitz (eds.):Proceedings of the Second World Congress on Expert Systems. Lisbon, Pergamon 1993, in press
55. A. Puerta, J. Egar, S. Tu and M. Musen: A multiple method knowledge acqusition shell for the automatic generation of knowledge acquisition tools. Knowledge Acquisition 4,171-197 (1992)
56. A. Rappaport: A theory of local and interstitial knowledge. In: (eds.):6th Bannf AAAI Knowledge Acquisition for Knowledge Based Systems Workshop. Bannf, 1991, pp. 21.1-21-18
57. A.T. Rappaport: On cognitive invariants and the knowledge milieu. In: R. Mizoguchi, H. Motoda, J. Boose, B. Gaines and R. Quinlan (eds.):Proceedings of the Second Japanese Knowlege Acquisition for Knowledge-Based Systems Workshop. Kobe, Japan, 1992, pp. 435-446
58. J. Sandberg and B. Wielinga: How situated is cognition. In: (eds.):12th International Joint Conference on Artificial Intelligence. Sydney, Morgan Kauffman 1991, pp. 341-346
59. A.T. Schreiber: Sysphus'91: Modelling the Office-Assignment Domain. In: M. Linster (eds.):Sysyphus'91: Models of Problem Solving. GMD (Gesellschaft fro" Mathematik und Datenverarbeitung mbH) 1992, pp.
60. A. Srinivasan, P. Compton, R. Malor, G. Edwards and L. Lazarus: Knowledge Acquisition in Context for a Complex Domain. In: B. Weilinga, J. Boose and B. Gaines (eds.): Proceedings of the Fifth European Knowledge Knowledge Aquisition Workshop. Pergamon 1992, in press
61. L. Steels: Components of Expertise. AI Magazine 11 (2), 29-49 (1990)
62. L. Steels: End-user configuration of applications. In: R. Mizoguchi, H. Motoda, J. Boose, B. Gaines and R. Quinlan (eds.):Proceedings of the Second Japanese Knowlege Acquisition for Knowledge-Based Systems Workshop. Kobe, Japan, 1992, pp. 43-63
63. B.J. Wielinga, A. T. Schreiber and J. A. Breuker: KADS: a modelling approach to knowledge engineering. Knowledge Acqusition 4 (1 (special issue on KADS)), 5-54 (1992)
64. T. Winograd and F. Flores: Understanding computers m~d cognition. Reading, MA: Addison Wesley 1987
65. L. Wittgenstein: Philosophical Investigations. London: Blackwell 1953